Updated catalog and generic keys of the Leiodidae (Insecta: Coleoptera) of the Neotropical region (“Latin America”: Mexico, the West Indies, and Central and South America)
Bibliographic record
Abstract
This paper presents an updated catalog of all taxa of Leiodidae (s.lat.) reported from the Neotropical Region. Keys are presented for the identification of all subfamilies, tribes, and 62 described genera. Three undescribed genera are included in the keys. A total of 600 valid named species are listed, with type localities, type depositories, synonyms, distributions, and biologies where known, and some unnamed species as recorded in the literature. Many species remain to be described. In this work we formally establish no new synonyms and no new combinations although we may indicate the existence of these; but we add new records for described species, and we make spelling corrections of scientific names, when appropriate. A brief review of distribution patterns is given. The fauna has been derived partly from some Nearctic elements that have penetrated as far south as Bolivia. A few genera in the Neotropical element have penetrated the Nearctic Region as far north as the northern U.S.A. or southeastern Canada. Most of the Neotropical genera are autochthonous. In southern South America there is a diverse Neo-Austral fauna with clear "Transantarctic" relationships to Australia and New Zealand and weakly to southern Africa. Some genera variously occur on other continents.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.007 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".