Tenderness of beef round muscles containing injection site lesions or bruises
Bibliographic record
Abstract
The effect of injection site lesions on shear force was studied in three experiments using beef calves injected at 2 to 6 mo with common vaccines and antimicrobials used in Canada. Lesions produced by clostridial bacterins (Blacklegol® 8, Covexin®-8, Ultrabac® 8), antimicrobials (Nuflor®, Trivetrin™), or a four-way respiratory vaccine (Bovishield™ 4) increased (P = 0.05) shear force values at the site of the lesion and at 2.5 cm from the lesion. The proportion of unacceptably tough meat cores (shear force > 4.6 kg) varied among injectables independent of lesion size. The proportion of unacceptably tough samples was significantly increased up to 7.5 and 12.5 cm from the lesion center for Trivetrin™ and Nuflor®, respectively, but only at 0 and 2.5 cm from the lesion center for the bacterins and Bovishield™ 4. Mean lesion volume varied from 8.6 ± 0.8 cm3 for Bovishield™ 4 to 90.2 ± 6.4 cm3 for one of the clostridial bacterins. The present results suggest that smaller lesions, which may not be identified during meat processing, may have a greater impact on meat tenderness and variability than larger lesions that are removed during processing. Antemortem bruises in two muscles of the round did not appear to affect shear force. Key words: Cattle, beef, tenderness, vaccine, antibiotic, lesion, bruise
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".