Example output from GNFinder showing the results of the heuristic and statistical rules used by the naive Bayes algorithm to calculate the final score. In this example GNFinder identified the name Canis familiaris with high odds of being a taxonomic name based on the following criteria. This name is in two separate “go” lists (A and B). Both the genus and the specific epithet have endings that are common in Latin (C and D). The length of the specific epithet and the genus are within expected values (E and G). The name is not an abbreviation (F). All of these features were used by a naive Bayes algorithm to calculate the final “odds” score, in this case, 11.56. The Bayesian prior was set at 0.1 (H).

  Part of: Thessen AE, Mozzherin D, Shorthouse DP, Patterson DJ (2022) Improving the discoverability of biodiversity data using the Global Names Finder. Biodiversity Information Science and Standards 6: e90026. https://doi.org/10.3897/biss.6.90026