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* indicates models were fitted with unstructured variance-covariance otherwise compound symmetry models were fitted.
High TEER indicates models with a good paracellular barrier which can be used for permeability and transport experiments.
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P value less than 0.05 indicates model terms are significant.
A reduction of BIC indicates model improvement.
The best MAE (0.061) of Model 1 is 70% lower than that (0.104) of Model 2, which indicates Model 1 is indeed easier to predict.
A statistically nonsignificant probability value (p>0.05; chi-square) of the item trait interaction score indicates model fit.
eBoldface names and architectures indicate models in which ensemble classifications were determined using the averaging method.
These findings indicated models high validity in predicting the AB1 removal by both of biomasses.
Apart from general frameworks for foresight evaluation, there can be indicated models devoted strictly to the foresight impact evaluation.
The akaike information criterion indicated models with interactions were better fitted.
All points in the lower right triangle in Figure 4a indicate models that could be improved.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com