Fat quality in the indigenous Krškopolje pig reared in an enriched environment
Bibliographic record
Abstract
The search for fat composition and content that is favourable in intramuscular fat (IMF) for fresh meat quality and at the same time in subcutaneous adipose tissue (SCF) for processed meat products, within the same breed, is reflected in the growing interest in native pig breeds. The aim of this study was to determine the fatty acid composition of the IMF of M. longissimus dorsi (LD) and adjacent SCF from the Slovenian indigenous Krškopolje pig. The type of fat from the 42 Krškopolje pig significantly affected the proportions of 29 of the 35 fatty acids measured here. The SCF contained higher proportions of saturated fatty acids (SFA) and polyunsaturated fatty acids (PUFA) and correspondingly less monounsaturated fatty acids (MUFA) than the IMF. Taking the extremes, the IMF at 6–10 % of the LD had higher proportions of SFA and MUFA and less PUFA than the IMF at 2–3 %. The thicker SCF (57–67 mm) was higher in SFA and lower in PUFA than thinner (30–40 mm). Sex and age also affected fatty acid composition; the fat from barrows was higher in MUFA and lower in PUFA than that from gilts, and with increasing age, MUFA content increased.
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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 | 0.001 | 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".