Bibliographic record
Abstract
Dohrniphora cornuta (Bigot) (Figs 25–26) Phora cornuta Bigot 1857, p 348 (French edition: 1857, p 827). Note: a full synonymy for this species is given by Kung & Brown (2006). Syntypes: ♂, ♀, CUBA: (Paris Museum; not examined). Species recognition. This species and D. sulcatula are the only New World species with thin, more dorsal setae on the hind femur. It differs from D. sulcatula by the yellow body color, and the peglike setae, which are few in number and grouped together (Figs 25–26). Distribution. Nearly worldwide, presumably spread by human activity. Material examined. Besides those listed in our Caribbean paper (Kung & Brown, 2006), 50♂ specimens: ARGENTINA: Buenos Aires: Moreno, 30 km W Buenos Aires; La Rioja: Duraznillo; Mendoza: La Consulta. CANADA: Ontario: Footes Bay (near Mactier), Madoc. COLOMBIA: Cauca: PNN Isla Gorgona. COSTA RICA: San Jose: trail to PN La Cangreja. IRAN: East Azerbaijan: suburb of Marand. NEW ZEALAND: Raglan. TAIWAN: Green Island. THAILAND: Khao Yai National Park; Chiang Mai:, Pa Huay Thong. USA: California: Topanga Canyon; Hawaii: Honolulu; Virginia: Springfield; Washington: Olympia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 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".