Cheilosia (Taeniochilosia) sahlbergi Becker 1894
Bibliographic record
Abstract
Cheilosia (Taeniochilosia) sahlbergi Becker, 1894 Chilosia sahlbergi Becker, 1894: 354. Chilosia sahlbergi – Stackelberg 1970: 58. — Peck 1988: 115. — Mengual et al. 2020: 26. — Speight 2020a: 50. Genetics We included three DNA barcodes of C. sahlbergi from Europe in our NJ tree, which cluster with high support (BS = 99.9%) with the barcodes of C. vicina, C. impudens, and C. nigripes. Remarks In this publication we describe C. ouwehandae sp. nov., which is close to Cheilosia sahlbergi. We have not seen real Cheilosia sahlbergi from the Caucasus, the species is not in the review of the Caucasian Cheilosia in Barkalov (1993) and we did not find any published record in the literature. Thus, we think that previous reports could refer to C. ouwehandae, and the name C. sahlbergi is removed from the Caucasian checklist. Distribution Europe, European parts of Russia.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".