Intrinsic and extrinsic influences on vital rates of cougars (puma concolor) in a hunted population
Bibliographic record
Abstract
Cougars are solitary, so their life-history performance should depend primarily on individual characteristics and interactions with their environment, making them well suited for studying the effects of individual traits, conspecific density, and extrinsic factors on vital rates. I developed generalized-linear models to identify influences on survival and reproduction in an Alberta population during 1981-1994, based on previously collected data. Recently-independent offspring, older individuals, and males survived least successfully. During winter, survival increased if cougars frequented habitats > 1.4 km ( ¥ ) or >2.2 km (o ) from a highway, between 1445-1678 m ( ¥ ) or 1513-1646 m (o ) elevation, and with <33 % (¥ ) or <41 % (o ) closed-canopy cover (>50% and >45% opencanopy cover) within 1 km2. Survival was higher during dry winters and following wet spnngs. Productive females were older and frequented habitats with <31 % closed-canopy cover (>48% open-canopy cover) within 1.0 km2. Mothers that occupied mid-elevation habitats raised larger litters, and those that experienced harsh conditions or reproduced during low cougar density produced female-biased litters.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".