Test data were modelled as six discrete event types: new items were separated into those that were correctly rejected as new (correct rejections), or incorrectly judged to be old (false alarms).
Aristotelian essences, thought to ground the common characteristics of distinct species, were correctly rejected by early modern philosophers.
Note that 1−FNR is the expected ratio of the number of null hypotheses that are correctly rejected to the number of declared null hypotheses.
All cases that were identified as transmission of multiple viral variants or "undetermined" (implying that transmission of multiple viral variants cannot be excluded) were correctly rejected by the Poisson-Fitter through the GOF test.
For the long version, we observed main effects of "item type" (F1,9 = 33.046; p<0.001), indicating that there were more new items which were correctly rejected than old items which were correctly recognized, and of "group" (F4,36 = 12.928; p<0.001; ε = 0.762), showing that conformity affected both items types.
Sensitivity measures the proportion of miRNAs which are correctly identified by the prediction pipeline, whereas specificity measures the proportion of sequences which are correctly rejected.
Specificity of our pipeline was calculated as the proportion of reference-homozygous and heterozygous sites, respectively, that were correctly rejected as "not mosaic".
Based on CodeWise test results on coding and known noncoding plant transcripts compiled from existing databases [ 19, 32, 33, 35], we estimated that about 96%% (AUC > 0.98) of these lncRNAs were correctly rejected as coding (true negatives).
For a given homolog-detection method, we then define True Positive hits (TP, global homologs correctly selected by that method), True Negatives (TN, non-global-homologs that are correctly rejected), False Positives (FP, non-global-homologs that are incorrectly accepted), and False Negatives (FN, true global homologs that are incorrectly rejected).
