MORPHOMETRY OF MOOSE ANTLERS IN CENTRAL BRITISH COLUMBIA
Bibliographic record
Abstract
We analyzed the morphometry of 1,965 sets of antlers from hunter-harvested moose (Alces alces andersoni) taken in the central interior of British Columbia. We describe the variation and age-related changes in antler and brow palm form, number of points on both main and brow palms, maximum spread, height and width of palmations, distance between innermost points on the brow palms, and shaft circumference. Architecturally, 25% were cervicorn pole type (PT); 75% were palmicorn with 67% split palm (SP) and 8% full palm (FP). Palmicorn antlers were most common in all age classes. Cervicorn antlers were most common in younger moose (1.5-3.5 years), and rare in moose >4.5 years. Of all antlers collected, 30% had forked brows and 12% had palmated brows. Forked brow palms increased with age; they occurred in 10% of moose 1.5 years old and 40-50% of moose >4.5 years old. The frequency of palmated brow palms increased quickly from 1.5 (2.5%) to 5.5 years (25%), peaked at 13.5 years (40%), before declining in later years. The number of points generally increased from 1.5-7.5 years, and remained stable thereafter. Maximum spread and shaft circumference generally increased from 1.5-13.5 years and decreased thereafter. Maximum antler height and width of main palms increased from 1.5-9.5 years; the first remained stable and the latter declined thereafter. Distance between the inner most points on the brow palms narrowed from 1.5-4.5 years, remained constant to 11.5 years, and then widened thereafter. Antler point counts were the most variable, whereas shaft circumference was the least variable character. ALCES VOL. 46: 123-134 (2010)
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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) | 0.001 | 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".