A dark, firm dry-like condition in turkeys condemned for cyanosis
Bibliographic record
Abstract
A case-control study (n = 130) was conducted on toms condemned for cyanosis. Color (CIE L*a*b*), pH, and physical characteristics were measured on the Pectoralis major at slaughter and after 24 h. Meat from carcasses condemned for cyanosis had dark, firm, dry-like traits. It was darker and redder and showed higher water-holding capacity, lower cooking loss, and higher gel strength than did controls. Perimortem pH was negatively correlated with the lightness (L*) of meat at the time of slaughter (r = -0.58) and at 24 h postmortem (r = -0.64), positively correlated with water-holding capacity (r = 0.73) and gel strength (r = 0.43) and negatively correlated with cooking loss (r = -0.50). Ultimate pH was negatively correlated with lightness (L*) of meat at slaughter time (r = -0.62) and at 24 h postmortem (r = 0.79) was positively correlated with water-holding capacity (r = 0.87) and gel strength (r = 0.61) and negatively correlated with cooking loss (r = -0.52). Tests based on pH and L* of the P. major were also assessed; tests based on pH had a sensitivity in the range of 0.79 to 0.89 and specificity (Sp) of 0.60 to 0.94. Tests based on L* showed sensitivity of 0.75 to 0.92, and specificity of 0.79 to 0.97. The repeatability of measurements varied from good (L*: rho = 0.6) to excellent (pH: rho = 0.92). Overall, turkey breast condemned for cyanosis showed dark, firm, dry-like traits. Tests based on color and pH are described as a means of identifying turkeys condemned for cyanosis.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 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".