CHECKLIST OF ORIBATID MITES (ACARI: ORIBATIDA) FROM MEXICO
Bibliographic record
Abstract
The Checklist of Oribatida from Mexico includes all known records to date, resulting in 768 species included in 378 genera from 117 families and 43 superfamilies. Records of nine fossil species from Lower Miocene amber (23 Ma) from Chiapas are included. Records are given for 12 of the biogeographic provinces proposed for the country, covering most of the Mexican states (except Sonora, Sinaloa and Tlaxcala), and therefore Mexico ranges among regions with a high species diversity, like Japan (833), India (789), Italy (721), Russian Far East (599), Canada (580) and Brazil (576). Many national and foreign people have contributed to the knowledge about the Mexican Oribatid mite fauna since the early twentieth century.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.003 | 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 teacher head, 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".