Relationships between carcass characteristics, meat quality, age and sex of free-ranging Alaskan reindeer: a pilot study
Bibliographic record
Abstract
Twenty-four reindeer (Rangifer tarandus) carcasses from male and female animals that ranged in age from calves to adults were purchased from Bering Sea Reindeer Products (BSRP), Nunivak Island, Alaska, USA. Preslaughter and abattoir procedures were observed and evaluated. Carcasses were split in half, weighed, and broke into wholesale primal cuts of chuck, rib, loin, and hindquarter. Each primal cut was weighed, boxed, and frozen. Each half carcass of primal cuts was later dissected into lean tissue, bone, and the three compartments of fat: subcutaneous, intermuscular, and peritoneal. A portion of the loin was collected from each animal in order to obtain data on pH and shear force. Sensory panel analysis was performed on loin steaks. Due to management and environmental effects, pH values were high and the meat was dark in colour. Carcasses from adult male reindeer contained significantly lower levels of fat than carcasses of adult females. Data indicated that yearling reindeer are of greatest economic value for meat production.
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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 | 0.000 | 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) | 0.001 | 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".