Bibliographic record
Abstract
Cheilosia (Eucartosyrphus) longula (Zetterstedt, 1838) Fig. 42 Eristalis longula Zetterstedt, 1838: 613. Cheilosia longula – Barkalov 1993: 712. Differential diagnosis Cheilosia longula is a small (body length: 6–9 mm), slender species, characterized by a bare face, bare eye, bicoloured legs, hyaline wings and lunule with reduced medial arm. Similar to C. ruffipes and C. scutellata, but these species have a broad facial tubercle, semicircular in dorsal view, while in C. longula the facial tubercle is narrow, almost conical in dorsal view. Like C. flavissima, but that species is paler, in the male the face is partly yellow, and the wing base is yellow (black in C. longula) and in the female the pro- and mesofemur and scutellum are completely yellow (pro- and mesofemur black with narrow yellow apices and scutellum at least along anterior margin black in C. longula). Material examined GEORGIA – Mtskheta-Mtianeti • 1 ♀; 42.6669° N, 44.6127° E; 2139 m a.s.l.; 13 Jul. 2019; A. Ssymank leg.; ASW, ZFMK-TIS-8009291. Genetics DNA barcodes of C. longula from Europe, Russian Far East and the Caucasus cluster together with high support (BS = 99.9%). Remarks Reported from Georgia for the first time. Distribution Europe, Caucasus, eastwards to eastern Siberia. Within the Caucasus, occurrence in countries other than Georgia uncertain. Barkalov (1993) reports it from the Greater Caucasus without specifying the country. Not reported from the Russian Caucasus in the Russian Checklist (Barkalov & Mutin 2018).
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".