Cheilosia (Taeniochilosia) grisella Becker 1894
Bibliographic record
Abstract
Cheilosia (Taeniochilosia) grisella Becker, 1894 Remarks All published references of this species in the Caucasus are based on Stackelberg & Richter (1968). Barkalov (1993) reidentified their material as C. aenigmatosa. Although he reported the species again later (Barkalov & Ståhls 1997), this is an error (A.V. Barkalov, pers. com.) and C. grisella should be treated as absent from the Caucasus. Genetics DNA barcodes of European specimens of C. grisella were grouped together with high support (BS = 98.7%). The cluster with the barcodes of Cheilosia lukashovae (BS = 100%) was placed sister to the barcodes cluster of C. grisella with high support (BS = 100%). Distribution Central Europe (Pyrenees, Alps, Carpathians) south to Montenegro, Serbia and North Macedonia, and eastwards to Romania and Bulgaria.
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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 | 0.001 | 0.001 |
| 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) | 0.010 | 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".