Benchmarking Venezuelan Quality Grades for Grass-Fed Cattle Carcasses
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Bibliographic record
Abstract
The current Venezuelan beef carcass classification and grading system provide a mean for sorting carcasses into 5 quality grades, designated as AA, A, B, C, and D, in a descending order of expected eating quality. Brahman cull heifers and cows (n = 21 and 18, respectively) and entire males (bulls; n = 17) were finished on native savannah grass, slaughtered and graded by the official standards to compare carcass traits, cutability, cookery traits, and palatability characteristics between graded (A, B, or C) female classes and bulls. The B-graded bulls dressed heavier carcasses, with a more convex leg muscle profile and larger ribeye area (P < 0.05) followed by C-graded cows in carcass weight and ribeye area (P < 0.05). Marbling score described as “Slight” did not differ among carcass grades (P > 0.05). The B-graded bulls had the highest proportion of total bone-in and boneless cuts (P < 0.05); however, carcasses from females surpassed (P < 0.05) or did not differ (P > 0.05) from bull carcasses in fabrication yield values for 16 of 18 individual cuts. Cooking loss (%) did not vary with carcass grades (P > 0.05). Cooked meats from A/B-graded heifers and C-graded cows had lower shear force values, were rated as more tender and flavorful (P < 0.05), and exhibited a higher proportion of tender steaks (with shear force < 4.09 kg) than B-graded bull counterparts (P < 0.05). Advantageous palatability traits of C-graded cows and A/B-graded heifers fattened on pasture can be used in developing and marketing new value-added products.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 | 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) | 0.000 | 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 it