Découverte de l’épithèque de Brunelle au Québec, une libellule secrète
Bibliographic record
Abstract
La récolte d’exuvies de libellules en 2012 et 2013, sur les berges des rivières Batiscan et Trenche en Mauricie, a mené à la découverte de l’épithèque de Brunelle (Neurocordulia michaeli) au Québec. Cette espèce méconnue, récemment décrite par Brunelle (2000), affiche une distribution plus nordique que celle de l’épithèque de Provancher (Neurocordulia yamaskanensis). Ces 2 espèces, plus répandues dans la zone tempérée que ne le laissent croire les mentions québécoises, peuvent cohabiter dans le même cours d’eau au piémont des Laurentides. Lors d’un inventaire d’adultes, ces épithèques peuvent carrément passer inaperçues en raison de leurs moeurs secrètes et crépusculaires. Une clé de détermination des espèces de l’est du Canada est fournie.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".