AGE, SEX, AND SEASONAL DIFFERENcES OF cARcASS WEIGHTS OF MOOSE FROM THE cENTRAL INTERIOR OF BRITISH cOLUMBIA: A cOMPARATIVE ANALYSIS
Bibliographic record
Abstract
ABSTRACT: Carcass weight (4 quarters without head, hide, lower legs, or internal organs) of moose (Alces alces) harvested in 1995-2007 in the Omineca sub-region of the Central Interior of British Co-lumbia, Canada were obtained from meat cutters records submitted to the Conservation Officer Service, Prince George, British Columbia. Mean carcass weight of male calves (<1 year) was 82 ± 16 (SD) kg and was not different (P = 0.629) from that of female calves that was 81 ± 13 kg. Mean carcass weight of juvenile bulls (spike/fork antlers) was 162 ± 21 kg. The mean carcass weight (249 ± 37) of adult bulls (larger than spike/fork antlers) was heavier (25%, P <0.001) than that of adult cows (199 ± 29 kg. Mean carcass weight of adult bulls was heavier (14 kg or 5.9 % of carcass weight, P = 0.002) in the pre-rut (10-25 September) than post-rut period (16-31 October); a similar change did not occur in juvenile bulls (P = 0.244). The mean carcass weights of calves (P = 0.651) and adult cows (P = 0.142) were not different between the October and late November-early December hunting seasons. Carcass weights and sexual size dimorphism for moose from the Omineca were mostly similar to those from European and North American ranges. We recommend increased collection of biological data at hunter check stations to provide more accurate body weight data and associated relationships.
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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 | 0.001 |
| 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) | 0.002 | 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".