Molecular characterization of porcine <i>PGM1</i> gene associated with meat quality traits
Bibliographic record
Abstract
Hwang, J. H., Kwon, S. G., Park, D. H., Kim, T. W., Kang, D. G., Ha, J., Kim, S. W. and Kim, C. W. 2015. Molecular characterization of porcine PGM1 gene associated with meat quality traits. Can. J. Anim. Sci. 95: 31–36. The PGM1 gene from four porcine breeds (Berkshire, Duroc, Landrace, and Yorkshire) is highly expressed in liver tissue at the transcriptional level. Single nucleotide polymorphisms (SNPs) of PGM1 were examined to analyze association with increased expression of PGM1 gene in the Berkshire liver. A Leu525 synonymous SNP of Chr6:137174682A>G (c.1575A>G) was identified and showed significant (P<0.05) differences to backfat thickness, drip loss, protein content, fat content, Warner–Bratzler shear force, and post-mortem pH24h. Therefore, it is concluded that PGM1 synonymous SNP is an important factor regulating meat quality.
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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) | 0.003 | 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".