Organization of veterinary team on sled dog race "the yukon quest". Statistical study of specific pathologies on 2006, 2007 and 2009 editions
Bibliographic record
Abstract
La Yukon Quest est une course internationale de chiens de traineau qui a lieu entre le Canada et les États-Unis. Les chiens de traineau qui participent à ces courses longue distance peuvent présenter des affections spécifiques. Le travail de l'équipe vétérinaire est alors primordial pour permettre d'effectuer la course dans le respect de l'animal. Les différentes affections relevées sur les éditions 2006, 2007 et 2009, ont été étudiées pour évaluer leur incidence, leur importance et leur évolution en rapport avec une diminution des temps de course. Ces donnés ont ensuite été comparées à celles relevées sur d'autres courses. L'organisation générale de la course et le travail de l'équipe vétérinaire ont aussi été détaillés. Ce travail souligne l'importance d'une bonne connaissance des affections et leurs facteurs de risque pour la prévention de celles-ci.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 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) | 0.005 | 0.001 |
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".