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The GB99 model was one of the DH+ models evaluated in the current study.
Namely, 63% of the EEM QSPR models evaluated in this study were able to predict p K a with R2 > 0.9.
It was found that kinetic models evaluated in conventional reactor experiments are inadequate for use in microreactor simulations because of the lower operating temperature and broader range of temperatures of the microreactor.
Finally, based on the average likelihood of models evaluated in the fine grid search, all models within 4 log likelihood units of the maximum likelihood model were re-evaluated with a deeper sampling of M = 1,000,000 ARGs, and the average of 10 evaluations taken as the final likelihood value.
Most outcome prediction models evaluated in the systematic reviews appeared to be in a developmental phase.
Simulated values of test statistics for each of the fifteen models evaluated in this study.
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Our DGRF MF candidate is the COV-OBS.x1 ensemble average MF model
The response model evaluated in this study is significant, with a coefficient of determination R2 of 0.910 at a confidence level of 95%.
The response model evaluated in this study is significant, with coefficient of determination R2 of 0.931 at a confidence level of 95%.
The second prediction model evaluated in this study was the risk score.
The model evaluated in this study eventually became structurally embedded in the local health system of the South-eastern Amsterdam district.
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