Sentence examples for differences in the predictability from inspiring English sources

This might reflect differences in the predictability of segments in successive morphemes compared to the within-morpheme segment predictions studied in the present article (see [ 40] for discussion of within- and between-morpheme letter prediction for written language).

In addition to psychometrical differences between the HoNOSCA and CGAS scales, distinct properties of the WISC-III IQ-scales may explain the differences in the predictability of outcome.

Because the AUC values failed to describe the differences in the predictability of the three modeling strategies, we suggest using omission curves in addition to AUC values to assess model performance.

Finally, F ANOVA (p < 0.05) and Bonferroni's post hoc tests were applied if there was a statistically significant difference in the predictability among the different types of tooth movement.

From Fig. 3, it is clear that there is nearly no difference in the predictability for each trait whether one million SNPs are used or 5000 SNPs are used.

Moreover, the adult model did not show any difference in the predictability of sotalol exposure after IV or oral application.

Nevertheless, recent studies have reported that racial differences existed in the predictability of the ratio [ 15].

Based on the above considerations, it seems unlikely that the differences in predictability in the present study can entirely account for the enhanced collicular activity during centrifugal saccades, although this possibility can not be ruled out on the basis of the current data.

One possible reason to consider for these observed collicular and prefrontal activity difference between the two saccade types is a difference in the directional predictability of the saccades.

For the same trait, the largest differences in predictability among the six methods vary from 0.007 to 0.046.

The differences in predictability of bias direction and the prevalence of high risk phenotype in normal tissue between the PAM50 and the other predictors can be explained by qualitative differences in variability of each gene set across normal samples.