Production of Lean Beef Containing a High Content of<i>trans-10</i>,<i>cis-12</i>Conjugated Linoleic Acid by Feeding a High-Temperature-Micro-Time-Treated Diet with Extruded Soybean
Bibliographic record
Abstract
The effects were observed of feeding a high-temperature-micro-time (HTMT)-treated diet of high-quality extruded soybean (ESB) on trans-10, cis-12 conjugated linoleic acid (CLA) incorporation in intra-muscular fat and on the lipid metabolism of twelve Holstein steers. The animals were randomly allocated to three groups, the control group being fed on a normal diet, and the other two groups being fed on a diet containing high-quality ESB with or without the HTMT treatment. The experimental period was four months. The content of total CLA in both the HTMT and non-HTMT-treated diets was higher than that in the control diet (P<0.05). The concentration of trans-10, cis-12 CLA was significantly higher in the HTMT-treated diet than in the non-treated diets at P<0.05, and the HTMT-treatment decreased the intra-muscular fat content (P<0.05). The expression of fatty acid synthase (FAS) and the plasma insulin-like growth factor-1 (IGF-1) level in the HTMT-treated group were lower than those in the control group (P<0.05). Lipoprotein lipase (LPL) mRNA level in the adipose tissue was lower in the non-HTMT-treated group than in the control (P<0.05). These results show that the HTMT treatment increased the level of trans-10, cis-12 CLA in the intra-muscular fat. This increased level of trans-10, cis-12 CLA may inhibit lipogenesis in the intra-muscular fat of Holstein steers.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".