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From this graphical model interpretation we can see that the score function is a Bayes factor comparing two models (Kass and Raftery, 1995).
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[See Supplemental Material, p. 14 15 (http://dx.doi.org/10.1289/ehp.1104499), for additional information on model interpretation.] We derived AGI incidence rate ratios (IRRs) from the models with splines and identified corresponding threshold points.
To reduce over-parameterization of the model and simplify interpretation, we restricted our analysis to main effects and two-way and three-way interaction terms.
We have now de-emphasized the internal model interpretation in part by moving it to the Discussion as suggested above.
We have toned down and revised the forward model interpretation in response to this and other comments from the reviewers.
To present results for these models for easier interpretation, we report the effect of temperature at the 25th and 75th percentiles of each city-characteristic (Additional file 3), as predicted for the meta-regression model, and testing for differences between both estimates.
The simulation results assist in the model interpretation.
This paper outlines model calibration results and model interpretation.
For these reasons, SO was considered to be the most robust model interpretation.
Some fast observations useful for the model interpretation follow by simple inspection of (5.1)–(5.4) and (5.10).
There is a one-to-one mapping between the bits and molecule features ideal for our mining and model interpretation.
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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