Quality Traits of Longissimus thoracis and lumborum and Gluteus medium Muscles from Cull Dairy Holstein-Friesian Cows
Bibliographic record
Abstract
Longissimus thoracis and lumborum (LTL) and Gluteus medius (Gm) muscles of culled dairy cows, differing in production status (Ps) at slaughter and carcass weight were assessed for intramuscular fat and myoglobin, color, shear force (SF) and sensorial characteristics, after being aged for 2, 7, 14, 28 and 42 days. Meat from dried-off cows was lighter, redder and had higher yellowness and chroma (P < 0.05) than lactating cows. Meat of finished fed cows improved in color in relation to counterparts directly slaughtered, but not significantly. Color parameters increased with aging time and the mean values of LTL and Gm significantly differed mostly among lactating cows. SF of meat was affected by aging time, muscle type, Ps and by their respective interactions (P < 0.001), with a greater impact in LTL muscle. Meat from LTL muscle of dried-off cows had lower SF (47.30 N) than that of lactating cows (65.61 N) (P < 0.05), but such differences were not significant for Gm muscle. Meat tenderness of finished fed cows was higher than counterparts not finished (P > 0.05). Main effects and the results from their interactions were significant for all sensorial attributes (P < 0.001).
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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 | 0.001 | 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".