Culicoides (Monoculicoides) variipennis
Bibliographic record
Abstract
Culicoides (Monoculicoides) variipennis (Coquillett) Ceratopogon variipennis Coquillett, 1901: 602 (Virginia, New Jersey, Mexico). Culicoides variipennis: Kieffer 1906: 55 (combination); Holbrook et al. 2000: 68 (genetic analysis and revision of complex; distribution). Culicoides variipennis variipennis: Wirth and Jones 1957: 12 (Virginia syntype designated lectotype; revision of variipennis complex). Culicoides (Monoculicoides) variipennis: Khalaf 1954: 40; Borkent and Spinelli 2000: 36 (in catalog of the Americas south of the USA; distribution); Borkent and Grogan 2009: 15 (in Nearctic catalog; distribution). Discussion. This species primarily inhabits the eastern forest of North America east of the 100 th Meridian from Nova Scotia, southern Ontario and Quebec, south to Texas and Florida, with outlying populations in southern British Columbia, Washington and Montana, and Mexico (Borkent and Grogan 2009; Holbrook et al. 2000; Wirth and Jones 1957). This species is known only in México from Distrito Federal and the nearby state of México (Holbrook et al. 2000); we relist these two earlier records and provide additional new records from Distrito Federal and the state of México. Previous records. Distrito Federal, O. W. Barrett, 1 female (syntype, in USNM); México, Ixtapan de la Sal, 5,500´Mex., Mex. 9 VIII 1954, J. G. Chillcott, 1 female (in Canadian National Collection, Ottawa; listed in Holbrook et al. 2000). New records. Distrito Federal, San Jacinto, 1931-1932, A. Dampf, light trap, 3 females. M\éxico, Otumba, Coyotepec, 24 May 14-June 2007, Z. D. Hdez, Malaise trap, 1 female.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.007 | 0.002 |
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".