Diets of Wolves on Northern Vancouver lsland
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The purpose of our study was to dternine the occurrence and seasonal variation of prey species in the diets of wolves on northern Vancouver Island.Colunbian black-iailed deer were found to be the mosr {requent pry and comprised the greateat relative weight in the dier of wolvs.Roosvelt elk conprised the next grearest conponen!by relative weight in lh di1.Hairs of fatrns occurred with greater frequency in summr scats than did thos ofaduh der.Beayer hair was more frequent in winrer scats than in sunmer scats.The proportion of beaver in the diet varied among years and was greatest 1'hen der populations were low.On Vancouver Island, yoirng ungulates were impo.tantprey of wolyes during sumn.. Use of alternatire prey by wolves increased when deer abundance was low.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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) | 0.001 | 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 it