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A contig is defined to be correct if it aligns to the reference genome with fewer than five consecutive base mismatches at the termini and has at least 95% base similarity.
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Precision of the system is defined to be the percentage of correct instances out of the total number of instances predicted, and Recall is defined to be the percentage of correct instances predicted out of the actual number of instances (GO annotations including parents in this case) that are associated with the protein.
Significance was defined to be p < 0.05 corrected for the familywise error rate using Holm Bonferroni method (Holm 1979).
This model was tested non-parametrically using permutation testing (FSL's randomize) and significance was defined to be p < 0.05, corrected for the familywise error rate.
We defined a location to be correct if the distance between the observers' marked location and the true cancer location was less than 2 cm.
Therefore, we argue in [11] that if locally defined dependency-models are validated to be correct, an obtained impact assessment (P(^ mn|vec {se}_{o})) is validated, too.
In order to verify that a given implementation conforms to such loosely defined specifications, the typical approach is to verify the implementation to be correct within well defined limits of time tolerance.
Likewise, levels of random glycemia to define diabetes were correct in only 19.7% of cases.
DAT were defined to have corrected P value <0.05 and fold-difference >1.5.
Therefore our claim that is well defined is correct.
More often than not, the process of producing/selecting indicators is not about defining what is "correct" but about defining what is "important".
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com