Variations in calf body mass in migratory caribou : the role of habitat, climate, and movements
Bibliographic record
Abstract
Individual differences in body mass exert a major influence on several life-history traits of mammals. We \ninvestigated the factors influencing variation in body mass of calves of migratory caribou (Rangifer tarandus) at \nbirth (June, 19 years of data) and in autumn (October, 15 years of data) in the Rivière-aux-Feuilles (Feuilles, \n1991–2003) herd and the Rivière-George (George, 1978–2003) herd in Québec and Labrador, Canada. Mass at \nbirth (hereafter, birth mass) did not differ between herds, possibly because part of their winter ranges overlapped. \nHowever, Feuilles calves were smaller in autumn than George calves, possibly reflecting differences in summer \nranges. The birth mass of calves also varied with year, likely as the outcome of both intrinsic and extrinsic \nfactors. Birth and autumn body mass were influenced positively by habitat quality in June, estimated by the \nnormalized difference vegetation index. The North Atlantic Oscillation of the previous winter was positively \ncorrelated with autumn mass of the George calves. Previous winter snowfall was negatively related to the mass of \nGeorge calves, and daily movement rates in summer were negatively correlated with the mass of calves of both \nherds in autumn. Birth mass was positively related with productivity in October in the George herd and also with \nproductivity 3 and 4 years later, which corresponds to the beginning of reproduction of females. We suggest that \na mechanism of delayed quality effect of the calves could have been involved in the decrease of fall productivity \nand population size of the George herd.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".