Bibliographic record
Abstract
Criorhina pachymera (Egger, 1858) (Fig. 2) • Cartigny (GE), Moulin-de-Vert, Piège Malaise, 24.04– 9.05.2019, 1 ♀, leg. G. PÉtremand, in coll. G. Pètremand. • Chancy (GE), Coulouvrière, Filet, 7.05.2019, 1 ♀, leg. D. BÉnon, in coll. G. PÉtremand. DÉcouverte en Suisse en 2006 (Dirickx & Obrecht 2007), cette espèce n’Était connue que du canton de Berne ainsi que de la rèserve naturelle de la Grande Cariçaie (Fisler et al. 2019). Très rare et considèrèe comme menacèe dans de nombreux pays d’Europe centrale (Speight et al. 2016), cette espèce est associèe à d’anciennes hêtraies mèsophiles ou à des forêts riveraines à Populus et Fraxinus. Les exigences ècologiques et l’habitat larvaire restent encore mÉconnus. Son identification morphologique est dÉlicate à cause d’une confusion possible avec une forme particulière de Criorhina ranunculi (Panzer, 1804) qui vient d’être dècouverte en Suisse (Speight et al. 2020). Les principaux ouvrages de dètermination ne prenant pas en compte cette forme rare de C. ranunculi, une clè a ètè èlaborèe par Speight et al. (2020). L’observation de C. pachymera dans deux localitès composèes de forêts riveraines mixtes, classèes comme zones alluviales d’importance nationale depuis 1992, tèmoigne de la nècessitè de prèserver ces habitats pour la conservation d’espèces menacèes.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.006 |
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".