Sentence examples for terms are correctly from inspiring English sources

Taking the WNT-mediated β-catenin pathway (PID pathway ID: wnt_beta_catenin_pathway) as an example is to examine if the related GO terms are correctly enriched.

The Method 4 in Table 9 used the gold standard result of Subtask 1 as the input of Subtask 2, and yielded around 10% absolute improvement on Subtask 2. In the last analysis method, we can see that if the high frequency GO terms are correctly predicted, the micro F1 for Subtask 2 can be greatly improved to over 60%.

Whether something is "so" (ran)—that is, whether some term is correctly predicable of it depends on "that which makes it so," in effect the satisfaction conditions for the term.

The first is accuracy, a zero-one loss function evaluating whether a single term is correctly annotated.

The confidence score for each detection is the sum of the scores given by the HTK tool to all the words of the term that are correctly recognized, divided by the number of words that are correctly recognized.

This score is based on the number of words in the short-term history, which are correctly aligned with the transcript: only three values are used, corresponding, respectively, to a full alignment of the current trigram, a full alignment of the current bi-gram, and an alignment of one word only.

Second, when using the results and conclusions of our review, readers need to be certain that terms are understood correctly.

Self-perception of learning gain following an intervention is an important part of determining educational efficacy 18 so it is important these terms are interpreted correctly.

Overall completeness of MeSH: Considering the evaluation for MeSH in Section 4.1, the generated siblings for the 1000 random sibling sets can be divided into five categories which are listed in Table 5. Almost 50% of the terms are generated correctly as a sibling or descendant of a seed term and as such are siblings where the automatic method agrees with our gold standard MeSH.

To verify that terms from these ontologies are correctly used, the validator caches each controlled vocabulary locally for performance purposes.

The various chlorinated dioxins are correctly termed "congeners" (members of a like series), as are the chlorinated dibenzofurans.