Cheilosia (Cheilosia) teberdensis Barkalov 1993
Bibliographic record
Abstract
Cheilosia (Cheilosia) teberdensis Barkalov, 1993 Fig. 69 Cheilosia teberdensis Barkalov, 1993: 705. Cheilosia teberdensis – Barkalov & Mutin 2018: 484. — Mengual et al. 2020: 21. Differential diagnosis Cheilosia teberdensis is a member of a group of closely related species, called the proxima group (Vujić et al. 2013) in which the pilose eyes, posterior margin of scutellum with setae, usually partly yellow legs, continuously pilose katepisternum, pruinose sterna and the shape of postgonite are distinctive characters. For a full diagnosis of the Cheilosia proxima group, see Vujić et al. (2013). Cheilosia teberdensis stands out, together with C. paragigantea, from other members of the proxima group occurring in the Caucasus by having black legs (tibiae yellow at both ends in the other species). Similar to C. paragigantea; for differences, see Differential diagnosis of that species. Material examined Collected in 2018, 2019, 2021 and 2022; see Mengual et al. (2020) for detailed records from 2018. ARMENIA – Syunik Province • 1 ♂; Spandaryan, small river; 39.621045° N, 45.910242° E; 1986 m a.s.l.; 19 May 2022; X. Mengual leg.; ZFMK, ZFMK-DIP-00093159 = ZFMK-TIS-8014613. Genetics DNA barcodes of C. teberdensis cluster together with high support (BS = 98.6%). Remarks Species reported from Armenia for the first time. Biology During our expeditions, collected between 19 May and 14 July at an altitude between 1463 and 2887 m a.s.l. Distribution Caucasus (Armenia, Georgia, Northern Caucasus).
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".