Survie et dynamique de population des caribous migrateurs du Québec-Labrador
Bibliographic record
Abstract
L'information sur la façon dont les paramètres démographiques tels que la survie et la reproduction varient au fil du temps est centrale pour comprendre la dynamique de population. Nous avons estimé la survie annuelle de plus de 700 caribous migrateurs marqués chez deux troupeaux du Québec-Labrador entre 1991 et 2012. De plus, nous avons vérifié l'effet de la masse des colliers émetteurs sur la survie des femelles adultes. Nos résultats démontrent que, lorsque la condition physique est mauvaise, un collier lourd peut diminuer la probabilité de survie d'environ 18% par rapport à un collier léger. Par la suite, nous avons élaboré un modèle démographique permettant d'estimer la taille de population annuelle. Nous avons utilisé cette technique efficace et peu coûteuse afin de corriger des inventaires ayant une grande incertitude ainsi que confirmer des inventaires aériens récents. Finalement, nous démontrons l'importance des suivis à long terme d’individus marqués.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".