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The GIA predictions for model RF3L20(β=0.4)+isE-4G ishownwn in Fig. 3.
Such models can be used to make predictions for model performance assessment, but the task is made more complicated by the multiple imputation structure.
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The implications of the model predictions for modelling fluidized-bed combustion are also discussed.
Exceptions are the SEs of predictions for models fitted using inferred haplotypes, which are consistently high for all traits.
For the comparison between model and non-model species, the in silico AFLP profile prediction for model species was performed on 6 primer combinations EcoRI/MseI for B. thuringiensis ser.
Fig. 8 LogP predictions for KOWWIN model in purple stars compared to OPERA model in green circles.
Predictions for this model were validated and compared with their counterparts from a detailed model.
Fig. 7 LogP predictions for KOWWIN model.
MOS-LQOn predictions for each model broken down by Speaker and delay location variant.
Furthermore, non-irrigation predictions for this model correspond to those computed using estimates of the selection equation.
These data were collected between October 2011 and July 2013 and closely matched the predictions for each model.
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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