Wolf homesite attendance patterns
Bibliographic record
Abstract
Adult gray wolves, Canis lupus L., 1758, frequent den and rendezvous sites (homesites) during summer to bring food to pups and to ensure security of the pups. We monitored homesite attendance of several adult wolves from a single pack in Isle Royale National Park, Michigan, for 6 years. Pack size, number of pups, and prey density varied during the period of monitoring. Given the effect of prey density on wolf behavior, we predicted that wolf homesite attendance patterns would vary with prey density. We also examined the effects of varying pack size, social status, and number of pups on homesite attendance. Contrary to our expectations, prey density did not appear to be a significant predictor of homesite attendance statistics such as hours per day at the homesite or length of absence from the homesite. Furthermore, when prey density and social status remained the same, homesite attendance (hours/day) of individual wolves monitored for multiple years varied substantially. Our results show homesite attendance to be highly variable and not well predicted by prey density.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".