This vignette documents the analysis of the data gathered from surveying 21 journals and 450 articles in the field of plant pathology for their openness and reproducibility and the effect that the journal it was published in had on that score.

Set-up Workspace

Load libraries used and setting the ggplot2 theme for the document.

Notes

All models are using the same priors.

Journal Effect Models

Priors

Priors were set to be generic weakly informative.

priors <- c(prior(normal(0, 1), class = "b"),
            prior(normal(0, 1), class = "Intercept"))

Computational Methods Availability

Test the effect that the journal’s effect on the available of computational methods. Set up a brms model with journal (abbreviation) as the fixed effect and year and assignee as random effects. Test the effect that the journal may have on the availability of data. Base level is set to Phytopathology, the journal that will be used as the intercept in the following model.

# import data
rrpp <- import_notes()

# relevel factors for analysis, use Phytopathology as basis for analysis, highest IF
rrpp <-
  within(rrpp,
         abbreviation <-
           relevel(abbreviation, ref = "Phytopathology"))

rrpp <- drop_na(rrpp, comp_mthds_avail)

m_f1 <-
  brm(
    formula = comp_mthds_avail ~ abbreviation +
      (1 | assignee),
    data = rrpp,
    seed = 27,
    prior = priors,
    family = cumulative(),
    iter = 10000,
    control = list(adapt_delta = 0.99)
  )
#> Compiling Stan program...
#> Start sampling

summary(m_f1)
#>  Family: cumulative 
#>   Links: mu = logit; disc = identity 
#> Formula: comp_mthds_avail ~ abbreviation + (1 | assignee) 
#>    Data: rrpp (Number of observations: 440) 
#>   Draws: 4 chains, each with iter = 10000; warmup = 5000; thin = 1;
#>          total post-warmup draws = 20000
#> 
#> Group-Level Effects: 
#> ~assignee (Number of levels: 5) 
#>               Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
#> sd(Intercept)     6.21      2.71     2.80    13.01 1.00     8634    11916
#> 
#> Population-Level Effects: 
#>                                 Estimate Est.Error l-95% CI u-95% CI Rhat
#> Intercept[1]                        0.16      0.79    -1.37     1.71 1.00
#> Intercept[2]                        0.55      0.78    -0.97     2.09 1.00
#> abbreviationAustralasPlantPath     -0.14      0.95    -2.02     1.67 1.00
#> abbreviationCanJPlantPathol        -0.20      0.92    -2.08     1.56 1.00
#> abbreviationCropProt               -0.25      0.89    -2.06     1.48 1.00
#> abbreviationEurJPlantPathol        -0.20      0.90    -2.04     1.52 1.00
#> abbreviationForestPathol           -0.21      0.92    -2.06     1.52 1.00
#> abbreviationJPhytopathol           -0.34      0.86    -2.07     1.28 1.00
#> abbreviationJPlantPathol           -0.23      0.91    -2.07     1.49 1.00
#> abbreviationMolPlantMicroIn         0.46      0.84    -1.26     2.05 1.00
#> abbreviationMolPlantPathol         -0.28      0.89    -2.06     1.39 1.00
#> abbreviationNematology             -0.23      0.91    -2.05     1.52 1.00
#> abbreviationPhysiolMolPlantP       -0.25      0.90    -2.07     1.45 1.00
#> abbreviationPhytoparasitica        -0.26      0.89    -2.04     1.41 1.00
#> abbreviationPhytopatholMediterr    -0.21      0.91    -2.04     1.54 1.00
#> abbreviationPlantDis               -0.20      0.91    -2.06     1.54 1.00
#> abbreviationPlantHealthProgress    -0.16      0.92    -2.02     1.58 1.00
#> abbreviationPlantPathol            -0.26      0.90    -2.06     1.45 1.00
#> abbreviationRevMexFitopatol        -0.24      0.91    -2.09     1.48 1.00
#> abbreviationTropPlantPathol         0.64      0.87    -1.13     2.27 1.00
#> abbreviationVirolJ                 -0.16      0.93    -2.03     1.59 1.00
#>                                 Bulk_ESS Tail_ESS
#> Intercept[1]                       23466    14789
#> Intercept[2]                       25098    15265
#> abbreviationAustralasPlantPath     32536    13882
#> abbreviationCanJPlantPathol        28906    12604
#> abbreviationCropProt               31134    13944
#> abbreviationEurJPlantPathol        31650    14673
#> abbreviationForestPathol           31718    14060
#> abbreviationJPhytopathol           32742    14361
#> abbreviationJPlantPathol           31789    13539
#> abbreviationMolPlantMicroIn        31388    13555
#> abbreviationMolPlantPathol         31143    14356
#> abbreviationNematology             31326    13327
#> abbreviationPhysiolMolPlantP       31681    14398
#> abbreviationPhytoparasitica        31377    14582
#> abbreviationPhytopatholMediterr    33593    14087
#> abbreviationPlantDis               32494    14433
#> abbreviationPlantHealthProgress    31097    13128
#> abbreviationPlantPathol            33926    14578
#> abbreviationRevMexFitopatol        31184    13966
#> abbreviationTropPlantPathol        30951    14357
#> abbreviationVirolJ                 31478    13751
#> 
#> Family Specific Parameters: 
#>      Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
#> disc     1.00      0.00     1.00     1.00   NA       NA       NA
#> 
#> Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
#> and Tail_ESS are effective sample size measures, and Rhat is the potential
#> scale reduction factor on split chains (at convergence, Rhat = 1).

plot(m_f1)


pp_check(m_f1, ndraws = 50, type = "bars")


plot(equivalence_test(m_f1))
#> Picking joint bandwidth of 0.0973
#> Warning: Removed 21000 rows containing non-finite values
#> (`stat_density_ridges()`).


pander(m_f1_report <- report(m_f1))
#> Warning: Predictions are treated as continuous variables in 'bayes_R2' which is
#> likely invalid for ordinal families.
#> Warning: Predictions are treated as continuous variables in 'bayes_R2' which is
#> likely invalid for ordinal families.
#> Start sampling
#> Warning: Predictions are treated as continuous variables in 'bayes_R2' which is
#> likely invalid for ordinal families.

#> Warning: Predictions are treated as continuous variables in 'bayes_R2' which is
#> likely invalid for ordinal families.

_We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._ and _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict comp_mthds_avail with abbreviation (formula: comp_mthds_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as student_t (location = 0.00, scale = 2.50) distributions. The model’s explanatory power is weak (R2 = 0.03, 95% CI [4.62e-04, 0.09]) and the part related to the fixed effects alone (marginal R2) is of 0.43 (95% CI [0.35, 0.48]). Within this model:

  • The effect of b Intercept[1] (Median = 0.16, 95% CI [-1.37, 1.71]) has a 58.41% probability of being positive (> 0), 55.79% of being significant (> 0.05), and 43.03% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32339)
  • The effect of b Intercept[2] (Median = 0.55, 95% CI [-0.97, 2.09]) has a 75.78% probability of being positive (> 0), 73.61% of being significant (> 0.05), and 62.57% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 28516)
  • The effect of b abbreviationAustralasPlantPath (Median = -0.13, 95% CI [-2.02, 1.67]) has a 55.28% probability of being negative (< 0), 53.23% of being significant (< -0.05), and 42.58% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30612)
  • The effect of b abbreviationCanJPlantPathol (Median = -0.18, 95% CI [-2.08, 1.56]) has a 57.66% probability of being negative (< 0), 55.65% of being significant (< -0.05), and 45.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31234)
  • The effect of b abbreviationCropProt (Median = -0.22, 95% CI [-2.06, 1.48]) has a 59.97% probability of being negative (< 0), 57.67% of being significant (< -0.05), and 46.49% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31202)
  • The effect of b abbreviationEurJPlantPathol (Median = -0.19, 95% CI [-2.04, 1.52]) has a 57.98% probability of being negative (< 0), 55.71% of being significant (< -0.05), and 44.92% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32113)
  • The effect of b abbreviationForestPathol (Median = -0.19, 95% CI [-2.06, 1.52]) has a 57.94% probability of being negative (< 0), 55.88% of being significant (< -0.05), and 45.62% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31482)
  • The effect of b abbreviationJPhytopathol (Median = -0.31, 95% CI [-2.07, 1.28]) has a 64.34% probability of being negative (< 0), 61.95% of being significant (< -0.05), and 50.65% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30985)
  • The effect of b abbreviationJPlantPathol (Median = -0.21, 95% CI [-2.07, 1.49]) has a 59.15% probability of being negative (< 0), 56.92% of being significant (< -0.05), and 46.06% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30646)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.49, 95% CI [-1.26, 2.05]) has a 71.93% probability of being positive (> 0), 69.89% of being significant (> 0.05), and 58.91% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30840)
  • The effect of b abbreviationMolPlantPathol (Median = -0.26, 95% CI [-2.06, 1.39]) has a 61.27% probability of being negative (< 0), 59.21% of being significant (< -0.05), and 48.47% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30942)
  • The effect of b abbreviationNematology (Median = -0.20, 95% CI [-2.05, 1.52]) has a 58.95% probability of being negative (< 0), 56.93% of being significant (< -0.05), and 46.09% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30868)
  • The effect of b abbreviationPhysiolMolPlantP (Median = -0.22, 95% CI [-2.07, 1.45]) has a 59.88% probability of being negative (< 0), 57.84% of being significant (< -0.05), and 46.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32950)
  • The effect of b abbreviationPhytoparasitica (Median = -0.24, 95% CI [-2.04, 1.41]) has a 60.77% probability of being negative (< 0), 58.63% of being significant (< -0.05), and 47.15% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 32161)
  • The effect of b abbreviationPhytopatholMediterr (Median = -0.19, 95% CI [-2.04, 1.54]) has a 58.04% probability of being negative (< 0), 55.94% of being significant (< -0.05), and 45.55% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30622)
  • The effect of b abbreviationPlantDis (Median = -0.19, 95% CI [-2.06, 1.54]) has a 58.36% probability of being negative (< 0), 56.17% of being significant (< -0.05), and 44.76% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 33692)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.15, 95% CI [-2.02, 1.58]) has a 56.54% probability of being negative (< 0), 54.37% of being significant (< -0.05), and 43.46% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31375)
  • The effect of b abbreviationPlantPathol (Median = -0.24, 95% CI [-2.06, 1.45]) has a 60.29% probability of being negative (< 0), 58.22% of being significant (< -0.05), and 47.57% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 30525)
  • The effect of b abbreviationRevMexFitopatol (Median = -0.22, 95% CI [-2.09, 1.48]) has a 59.81% probability of being negative (< 0), 57.70% of being significant (< -0.05), and 46.63% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 31373)
  • The effect of b abbreviationTropPlantPathol (Median = 0.66, 95% CI [-1.13, 2.27]) has a 77.35% probability of being positive (> 0), 75.55% of being significant (> 0.05), and 66.25% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23414)
  • The effect of b abbreviationVirolJ (Median = -0.14, 95% CI [-2.03, 1.59]) has a 56.07% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 42.80% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25011)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._

m_f1_es <- report_effectsize(m_f1)
#> Start sampling

Data Availability

Test the effect that the journal may have on the availability of data. Base level is set to Phytopathology, the journal that will be used as the intercept in the following model.

# reimport data due to changes in previous model dropping NA values
rrpp <- import_notes()
rrpp <-
  within(rrpp,
         abbreviation <-
           relevel(abbreviation, ref = "Phytopathology"))

rrpp <- drop_na(rrpp, data_avail)

m_f2 <-
  brm(
    formula = data_avail ~ abbreviation +
      (1 | assignee),
    data = rrpp,
    seed = 27,
    prior = priors,
    family = cumulative(),
    iter = 10000,
    control = list(adapt_delta = 0.99)
  )
#> Compiling Stan program...
#> Start sampling

summary(m_f2)
#>  Family: cumulative 
#>   Links: mu = logit; disc = identity 
#> Formula: data_avail ~ abbreviation + (1 | assignee) 
#>    Data: rrpp (Number of observations: 448) 
#>   Draws: 4 chains, each with iter = 10000; warmup = 5000; thin = 1;
#>          total post-warmup draws = 20000
#> 
#> Group-Level Effects: 
#> ~assignee (Number of levels: 5) 
#>               Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
#> sd(Intercept)     2.46      1.35     0.47     5.70 1.00     3966     3612
#> 
#> Population-Level Effects: 
#>                                 Estimate Est.Error l-95% CI u-95% CI Rhat
#> Intercept[1]                        0.40      0.69    -0.95     1.71 1.00
#> Intercept[2]                        0.68      0.69    -0.67     1.97 1.00
#> Intercept[3]                        1.14      0.69    -0.21     2.44 1.00
#> abbreviationAustralasPlantPath      0.60      0.64    -0.69     1.81 1.00
#> abbreviationCanJPlantPathol         0.28      0.55    -0.85     1.33 1.00
#> abbreviationCropProt               -1.27      0.70    -2.75     0.01 1.00
#> abbreviationEurJPlantPathol         0.06      0.58    -1.14     1.15 1.00
#> abbreviationForestPathol           -0.12      0.57    -1.28     0.95 1.00
#> abbreviationJPhytopathol           -0.27      0.47    -1.24     0.62 1.00
#> abbreviationJPlantPathol            0.14      0.54    -0.97     1.14 1.00
#> abbreviationMolPlantMicroIn         0.53      0.48    -0.45     1.46 1.00
#> abbreviationMolPlantPathol          0.92      0.42     0.10     1.73 1.00
#> abbreviationNematology             -0.21      0.62    -1.49     0.94 1.00
#> abbreviationPhysiolMolPlantP        0.58      0.47    -0.38     1.47 1.00
#> abbreviationPhytoparasitica        -0.49      0.58    -1.70     0.59 1.00
#> abbreviationPhytopatholMediterr     1.67      0.46     0.77     2.57 1.00
#> abbreviationPlantDis               -1.29      0.69    -2.74    -0.03 1.00
#> abbreviationPlantHealthProgress    -0.62      0.68    -2.01     0.64 1.00
#> abbreviationPlantPathol            -0.10      0.48    -1.09     0.82 1.00
#> abbreviationRevMexFitopatol        -1.17      0.70    -2.61     0.13 1.00
#> abbreviationTropPlantPathol         0.34      0.55    -0.77     1.38 1.00
#> abbreviationVirolJ                  0.86      0.45    -0.02     1.73 1.00
#>                                 Bulk_ESS Tail_ESS
#> Intercept[1]                        5436     5371
#> Intercept[2]                        5478     5361
#> Intercept[3]                        5611     5672
#> abbreviationAustralasPlantPath     24496    14785
#> abbreviationCanJPlantPathol        22543    14189
#> abbreviationCropProt               23705    12422
#> abbreviationEurJPlantPathol        20390    13867
#> abbreviationForestPathol           21014    13168
#> abbreviationJPhytopathol           19218    14636
#> abbreviationJPlantPathol           20756    13396
#> abbreviationMolPlantMicroIn        18388    14692
#> abbreviationMolPlantPathol         17285    15199
#> abbreviationNematology             24110    13773
#> abbreviationPhysiolMolPlantP       19145    13475
#> abbreviationPhytoparasitica        22760    14177
#> abbreviationPhytopatholMediterr    19560    15257
#> abbreviationPlantDis               25415    13170
#> abbreviationPlantHealthProgress    23033    12837
#> abbreviationPlantPathol            19981    14407
#> abbreviationRevMexFitopatol        26372    13839
#> abbreviationTropPlantPathol        22973    14035
#> abbreviationVirolJ                 19053    14538
#> 
#> Family Specific Parameters: 
#>      Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
#> disc     1.00      0.00     1.00     1.00   NA       NA       NA
#> 
#> Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
#> and Tail_ESS are effective sample size measures, and Rhat is the potential
#> scale reduction factor on split chains (at convergence, Rhat = 1).

plot(m_f2)


pp_check(m_f1, ndraws = 50, type = "bars")


plot(equivalence_test(m_f2), range = c(-0.1, 0.1))
#> Picking joint bandwidth of 0.0631
#> Warning: Removed 22000 rows containing non-finite values
#> (`stat_density_ridges()`).


pander(m_f2_report <- report(m_f2))
#> Warning: Predictions are treated as continuous variables in 'bayes_R2' which is
#> likely invalid for ordinal families.
#> Warning: Predictions are treated as continuous variables in 'bayes_R2' which is
#> likely invalid for ordinal families.
#> Start sampling
#> Warning: Predictions are treated as continuous variables in 'bayes_R2' which is
#> likely invalid for ordinal families.

#> Warning: Predictions are treated as continuous variables in 'bayes_R2' which is
#> likely invalid for ordinal families.

_We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._, _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as normal (mean = 0.00, SD = 1.00) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._ and _We fitted a Bayesian logistic mixed model (estimated using MCMC sampling with 4 chains of 10000 iterations and a warmup of 5000) to predict data_avail with abbreviation (formula: data_avail ~ abbreviation). The model included assignee as random effect (formula: ~1 | assignee). Priors over parameters were set as student_t (location = 0.00, scale = 2.50) distributions. The model’s explanatory power is weak (R2 = 0.12, 95% CI [0.07, 0.17]) and the part related to the fixed effects alone (marginal R2) is of 0.20 (95% CI [0.08, 0.28]). Within this model:

  • The effect of b Intercept[1] (Median = 0.39, 95% CI [-0.95, 1.71]) has a 71.00% probability of being positive (> 0), 68.58% of being significant (> 0.05), and 55.44% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24307)
  • The effect of b Intercept[2] (Median = 0.67, 95% CI [-0.67, 1.97]) has a 83.41% probability of being positive (> 0), 81.48% of being significant (> 0.05), and 70.22% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22129)
  • The effect of b Intercept[3] (Median = 1.14, 95% CI [-0.21, 2.44]) has a 95.07% probability of being positive (> 0), 94.28% of being significant (> 0.05), and 88.81% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22755)
  • The effect of b abbreviationAustralasPlantPath (Median = 0.61, 95% CI [-0.69, 1.81]) has a 82.82% probability of being positive (> 0), 80.87% of being significant (> 0.05), and 68.98% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19981)
  • The effect of b abbreviationCanJPlantPathol (Median = 0.30, 95% CI [-0.85, 1.33]) has a 70.03% probability of being positive (> 0), 66.95% of being significant (> 0.05), and 50.09% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20503)
  • The effect of b abbreviationCropProt (Median = -1.24, 95% CI [-2.75, 7.42e-03]) has a 97.39% probability of being negative (< 0), 96.73% of being significant (< -0.05), and 92.35% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18975)
  • The effect of b abbreviationEurJPlantPathol (Median = 0.07, 95% CI [-1.14, 1.15]) has a 55.05% probability of being positive (> 0), 51.74% of being significant (> 0.05), and 34.60% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 20369)
  • The effect of b abbreviationForestPathol (Median = -0.10, 95% CI [-1.28, 0.95]) has a 57.38% probability of being negative (< 0), 53.86% of being significant (< -0.05), and 36.08% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 18290)
  • The effect of b abbreviationJPhytopathol (Median = -0.26, 95% CI [-1.24, 0.62]) has a 71.38% probability of being negative (< 0), 67.54% of being significant (< -0.05), and 46.72% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 17388)
  • The effect of b abbreviationJPlantPathol (Median = 0.15, 95% CI [-0.97, 1.14]) has a 61.16% probability of being positive (> 0), 57.51% of being significant (> 0.05), and 38.76% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 23521)
  • The effect of b abbreviationMolPlantMicroIn (Median = 0.54, 95% CI [-0.45, 1.46]) has a 85.83% probability of being positive (> 0), 83.45% of being significant (> 0.05), and 68.72% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19047)
  • The effect of b abbreviationMolPlantPathol (Median = 0.92, 95% CI [0.10, 1.73]) has a 98.45% probability of being positive (> 0), 97.98% of being significant (> 0.05), and 93.24% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22298)
  • The effect of b abbreviationNematology (Median = -0.19, 95% CI [-1.49, 0.94]) has a 62.43% probability of being negative (< 0), 59.28% of being significant (< -0.05), and 43.24% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19528)
  • The effect of b abbreviationPhysiolMolPlantP (Median = 0.58, 95% CI [-0.38, 1.47]) has a 89.03% probability of being positive (> 0), 86.84% of being significant (> 0.05), and 72.77% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 24518)
  • The effect of b abbreviationPhytoparasitica (Median = -0.47, 95% CI [-1.70, 0.59]) has a 80.02% probability of being negative (< 0), 77.43% of being significant (< -0.05), and 62.00% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22228)
  • The effect of b abbreviationPhytopatholMediterr (Median = 1.67, 95% CI [0.77, 2.57]) has a 100.00% probability of being positive (> 0), 99.99% of being significant (> 0.05), and 99.87% of being large (> 0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19747)
  • The effect of b abbreviationPlantDis (Median = -1.26, 95% CI [-2.74, -0.03]) has a 97.78% probability of being negative (< 0), 97.30% of being significant (< -0.05), and 93.25% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 25620)
  • The effect of b abbreviationPlantHealthProgress (Median = -0.59, 95% CI [-2.01, 0.64]) has a 81.71% probability of being negative (< 0), 79.61% of being significant (< -0.05), and 67.05% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 22569)
  • The effect of b abbreviationPlantPathol (Median = -0.09, 95% CI [-1.09, 0.82]) has a 57.23% probability of being negative (< 0), 53.49% of being significant (< -0.05), and 33.36% of being large (< -0.30). The estimation successfully converged (Rhat = 1.000) and the indices are reliable (ESS = 19006)
  • The effect of b abbreviationRevMexFitopatol (Median = -1.14, 95% CI [-2.61, 0.13]) has a 95.84% probability of being negative (< 0), 95.03% of being significant (< -0.05), and 89.44% of being large (< -0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5505)
  • The effect of b abbreviationTropPlantPathol (Median = 0.36, 95% CI [-0.77, 1.38]) has a 74.23% probability of being positive (> 0), 71.45% of being significant (> 0.05), and 54.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5549)
  • The effect of b abbreviationVirolJ (Median = 0.87, 95% CI [-0.02, 1.73]) has a 97.17% probability of being positive (> 0), 96.39% of being significant (> 0.05), and 89.52% of being large (> 0.30). The estimation successfully converged (Rhat = 1.001) and the indices are reliable (ESS = 5691)

Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT) framework, we report the median of the posterior distribution and its 95% CI (Highest Density Interval), along the probability of direction (pd), the probability of significance and the probability of being large. The thresholds beyond which the effect is considered as significant (i.e., non-negligible) and large are |0.05| and |0.30|. Convergence and stability of the Bayesian sampling has been assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017)._

m_f2_es <- report_effectsize(m_f2)
#> Start sampling

Save Model Objects

Save the model objects for figures in the paper.

save(m_f1, file = here("inst/extdata/m_f1.Rda"))
save(m_f2, file = here("inst/extdata/m_f2.Rda"))

save(m_f1_report, file = here("inst/extdata/m_f1_report.Rda"))
save(m_f2_report, file = here("inst/extdata/m_f2_report.Rda"))

save(m_f1_es, file = here("inst/extdata/m_f1_es.Rda"))
save(m_f2_es, file = here("inst/extdata/m_f2_es.Rda"))

Colophon

sessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#>  setting  value
#>  version  R version 4.2.2 (2022-10-31)
#>  os       macOS Ventura 13.1
#>  system   aarch64, darwin20
#>  ui       X11
#>  language en
#>  collate  en_US.UTF-8
#>  ctype    en_US.UTF-8
#>  tz       Australia/Perth
#>  date     2023-01-04
#>  pandoc   2.19.2 @ /opt/homebrew/bin/ (via rmarkdown)
#> 
#> ─ Packages ───────────────────────────────────────────────────────────────────
#>  package                            * version  date (UTC) lib source
#>  abind                                1.4-5    2016-07-21 [2] CRAN (R 4.2.2)
#>  assertthat                           0.2.1    2019-03-21 [2] CRAN (R 4.2.2)
#>  backports                            1.4.1    2021-12-13 [2] CRAN (R 4.2.2)
#>  base64enc                            0.1-3    2015-07-28 [2] CRAN (R 4.2.2)
#>  bayesplot                          * 1.10.0   2022-11-16 [2] CRAN (R 4.2.0)
#>  bayestestR                         * 0.13.0   2022-09-18 [2] CRAN (R 4.2.0)
#>  boot                                 1.3-28.1 2022-11-22 [2] CRAN (R 4.2.2)
#>  bridgesampling                       1.1-2    2021-04-16 [2] CRAN (R 4.2.1)
#>  brms                               * 2.18.0   2022-09-19 [2] CRAN (R 4.2.0)
#>  Brobdingnag                          1.2-9    2022-10-19 [2] CRAN (R 4.2.2)
#>  bslib                                0.4.2    2022-12-16 [2] CRAN (R 4.2.2)
#>  cachem                               1.0.6    2021-08-19 [2] CRAN (R 4.2.2)
#>  callr                                3.7.3    2022-11-02 [2] CRAN (R 4.2.2)
#>  checkmate                            2.1.0    2022-04-21 [2] CRAN (R 4.2.2)
#>  cli                                  3.5.0    2022-12-20 [2] CRAN (R 4.2.2)
#>  coda                                 0.19-4   2020-09-30 [2] CRAN (R 4.2.2)
#>  codetools                            0.2-18   2020-11-04 [2] CRAN (R 4.2.2)
#>  colorspace                           2.0-3    2022-02-21 [2] CRAN (R 4.2.2)
#>  colourpicker                         1.2.0    2022-10-28 [2] CRAN (R 4.2.0)
#>  crayon                               1.5.2    2022-09-29 [2] CRAN (R 4.2.2)
#>  crosstalk                            1.2.0    2021-11-04 [2] CRAN (R 4.2.2)
#>  datawizard                           0.6.5    2022-12-14 [2] CRAN (R 4.2.2)
#>  DBI                                  1.1.3    2022-06-18 [2] CRAN (R 4.2.2)
#>  desc                                 1.4.2    2022-09-08 [2] CRAN (R 4.2.2)
#>  digest                               0.6.31   2022-12-11 [2] CRAN (R 4.2.2)
#>  distributional                       0.3.1    2022-09-02 [2] CRAN (R 4.2.0)
#>  dplyr                                1.0.10   2022-09-01 [2] CRAN (R 4.2.0)
#>  DT                                   0.26     2022-10-19 [2] CRAN (R 4.2.0)
#>  dygraphs                             1.1.1.6  2018-07-11 [2] CRAN (R 4.2.1)
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