Effects of slaughter weight and growth rate on the <i>longissimus</i> muscle metabolic characteristics, and pork sensory quality in pigs of two sexes
Bibliographic record
Abstract
A total of 119 pigs were used to investigate the effect of slaughter weight (107, 115, and 125 kg), growth rate (fast vs. slow), and sex (barrows vs. gilts) on the longissimus muscle biochemical and sensory traits. Increasing slaughter weight to 125 kg resulted in greater postmortem activity of calpastatin (P = 0.01), lactate dehydrogenase (P = 0.01), and citrate synthase (P = 0.02). Pork toughness and juiciness at 6 d were affected by the interaction slaughter weight × growth rate × sex, with pork being tougher (P = 0.04) and juicer (P = 0.03) in slow-growing gilts slaughtered at 125 and 115 kg, respectively. Flavour was scored higher (P = 0.03) in pork from gilts than from barrows. Overall, based on the slight and likely undetectable differences by the average consumer in the meat sensory traits, it can be concluded that slaughter weight can be increased to 125 kg without appreciable effect on the sensory properties.
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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 | 0.001 | 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 | 0.000 | 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".