THE EFFECT OF EPIMYSIAL CONNECTIVE TISSUE ON FACTORS RELATED TO TENDERNESS OF BEEF <i>SEMITENDINOSUS</i>
Bibliographic record
Abstract
ABSTRACT Previous investigations have revealed consistently unacceptable levels of toughness in beef semitendinosus (ST; eye of round). It is possible that the fusiform architecture of the ST permits moisture loss during cooking as the epimysial connective‐tissue (CT) layer shrinks with heating. This investigation of the effects of the presence/absence of the epimysium demonstrated significantly (P < 0.01) greater shear values in samples with an intact external CT layer. However, the reduction in shear with epimysium removal was small (4.45%) and would not have been sufficient to bring a large proportion of ST steaks into the range of acceptable eating quality. The ST is atypical of skeletal muscle with regards to its biomechanical function and native elastin content, and this possible contributor to toughness requires further investigation in order to develop a suitable method for tenderness improvement.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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".