Meat quality of bison (<i>Bison bison bison</i>) longissimus thoracis et lumborum following very fast chilling
Bibliographic record
Abstract
Very fast chilling (VFC; internal muscle temperature of -1°C by 5 h postmortem) was achieved in the longissimus lumborum (LL), but not in the semimembranosus, of lean bison carcasses after only 4 or 6 h of chilling at -35°C. Rigorous chilling caused a shift in moisture loss from carcass cooler shrink to retail drip loss. Sides exposed to VFC conditions had darker LL colour at 24 h postmortem; however, the difference did not persist to 6 d. While chilling for 2 h at -35°C resulted in an increased shear over conventionally chilled samples, the application of VFC for 4 and 6 h decreased mean shear values and resulted in a slight improvement in tenderness consistency. Sensory evaluation panellists noted marginal, non-significant differences. Factors affecting tenderization were the physical prevention of sarcomere shortening due to surface freezing with increased chilling intensity and a contribution from proteolytic enzyme systems over time postmortem. Very fast chilling is an effective means of reducing carcass chilling time while improving tenderness in the LL of lean bison carcasses. Key words: Bison, meat quality, very fast chilling
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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) | 0.003 | 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".