Packing plant differences in meat quality for grain-fed veal
Bibliographic record
Abstract
Campbell, C. P., Haley, J., Swanson, K. C. and Mandell, I. B. 2013. Packing plant differences in meat quality for grain-fed veal. Can. J. Anim. Sci. 93: 205–215. Packing plant differences in meat quality were investigated in grain-fed veal from three commercial packing plants and a university research facility. Postmortem chilling rates were investigated in three plants including facilities which encased carcass sides in a polyliner bag intended to reduce shrinkage during chilling. Packing plant differences (P ≤ 0.01) in chilling rates were not always accompanied by plant differences in sarcomere length for longissimus or semitendinosus muscles. Drip and cooking losses and shear force for longissimus varied (P≤0.04) across packing plant with lower (P≤0.02) values found in veal slaughtered at the university research facility vs. veal from commercial packing plants. A packing plant by postmortem ageing interaction (P<0.05) for shear force was due to differences in extent of postmortem tenderization with ageing across packing plants. While use of a polyliner to encase the carcass during chilling decreased (P<0.001) rate of chilling and carcass shrinkage, there was no effect (P>0.20) on drip loss, shear force, or cooking losses vs. carcasses chilled uncovered.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".