Rove beetles collected with carrion traps (Coleoptera: Staphylinidae) in Quercus forest of Cerro de García, Jalisco and Quercus, Quercus-pine, and pine forests in other jurisdictions of Mexico
Bibliographic record
Abstract
We present the species diversity of rove beetles (Coleoptera: Staphylinidae) collected with carrion baited traps in Quercus forests of Cerro de García, Jalisco, and provide a compilation of published species records in Quercus, Quercus-pine and pine forests in other jurisdictions of Mexico. This work includes taxonomic notes, information on species phenology, distribution, and their occurrence in Cerro de García (if applicable), and other jurisdictions of Mexico. In Cerro de García, 75 species were collected in total, of which 16 are shared with other Quercus forests in different locations, and 9 species are provided with new habitat data. The remaining individuals were only determined to morphospecies. In Mexico, there are 77 known species of rove beetles collected with carrion traps (determined to species or near species) and recorded from Quercus, Quercus-pine and pine forests. These species belong to 30 genera, 11 tribes and 10 subfamilies. This study provides biological information on Mexican rove beetles captured with carrion traps and highlights the importance of rove beetles as indicator species of habitat change for conservation analysis, forestry, agronomy and forensic sciences studies.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".