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Country-level predictors did not have a significant effect on the likelihood of professionalization.
Additional stratification when using different substrate groups like sand, loam and loess as predictors did not improve the model.
Item analyses with phonological properties as predictors did not yield any significant effects in terms of overall memory performance (all F < 2.6, all p > 0.12) or in terms of memory for the size component (all F > 1.10, all p > 0.30).
In fact, the highest Pearson's correlations between predictors did not exceed 0.65 and 0.44 for AGA and PGA, respectively.
Analyses of glutamate concentrations in the ACC and hippocampus using the empathy factors as predictors did not reveal significant effects.
However models including these predictors did not perform as well (as measured by AIC) and often had many more missing values if limited to most recent information.
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The Variance Inflation Factor (2.539 5.573) and Tolerance (.179 .394) indices for all predictors do not show any critical values.
The CoD will correctly produce low values in cases where the no-predictor error is already small, or when adding predictors does not contribute to a significant decrease in error.
In fact, it is not rare that researches that exploit ML-based predictors do not provide details about the parameterization of the involved ML model or about the model selection process.
Disgusting images, especially those related to animal-reminder disgust (e.g., mutilated body), generate neural responses that are highly predictive of political orientation even though these neural predictors do not agree with participants' conscious rating of the stimuli.
This shows that uncurated experimental proteomics data from isolated subcellular compartments and localization predictors do not provide sufficient quality for localization.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com