Neriidae (Diptera: Schizophora) from Mexico: new species, new records and an identification key
Bibliographic record
Abstract
We conducted a study of material from the Colección de Artrópodos de Referencia Forense, UNAM (CARF), Colección Nacional de Insectos, UNAM (CNIN) and Colección de Insectos del Bosque Seco, Estación de Biología Chamela, UNAM (EBCH), which revealed three new distributional records of cactus flies species in Mexico as follows: Cerantichir enderleini (Hennig, 1937), Eoneria blanchardi Aczél, 1951, and Glyphidops durus (Cresson, 1926). This study also described two new species: Cerantichir mexicana Gomes & Sepúlveda and Eoneria ramirezi Gomes & Sepúlveda. We update the distribution records of the cactus flies (Neriidae) distributed in Mexico. The list of species includes: Glyphidops filosus (Fabricius, 1805), Glyphidops flavifrons (Bigot, 1886), Glyphidops filosus (Fabricius, 1805), Glyphidops xanthopus (Schiner, 1868), Nerius pilifer Fabricius, 1805, Nerius plurivittatus Bigot, 1886, Nerius purpusianus Enderlein, 1922, Odontoloxozus longicornis (Coquillett, 1904), and Odontoloxozus pachycericola Mangan & Baldwin, 1986. This study increases the number of species known to occur in Mexico from eight to 13.
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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 | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".