QUANTITATIVE INDICATORS OF PIG CARCASSES OF DANISH AND CANADIAN ORIGIN WITH DIFFERENT PRE-SLAUGHTER LIVE WEIGHTS
Bibliographic record
Abstract
The article studied the quality of pig carcasses of Danish and Canadian origin, fattened under industrial pig production conditions and slaughtered at pre-slaughter weights of 110 and 130 kg. It was found that animals slaughtered at a live weight of 110 kg had 4.2% higher weight loss during transportation in gilts compared to barrows, and 0.7% higher weight loss in Danish pigs compared to their Canadian counterparts. A significant advantage was found in Danish pigs, with a higher loin weight of 8.8% and 1.0% more meat yield in the carcass, although they experienced a 0.7% increase in weight loss during transportation and fasting. At the same time, Danish gilts significantly outperformed barrows of the same genotype in terms of slaughter yield by 2.4%, loin eye area by 4.3%, and loin weight by 7.3%, but showed 0.6% higher weight loss during transportation. In contrast, Canadian barrows had significantly lower transportation weight losses by 4.8%. When pre-slaughter weight increased to 130 kg, Danish pigs demonstrated significant advantages in bacon half length by 0.8%, loin eye area by 6.8%, loin weight by 4.4%, along with 1.6% higher live weight losses during transportation. When comparing gilts and barrows slaughtered at this live weight of 130 kg, Danish-origin gilts showed significant advantages over barrows in terms of chilled carcass weight by 2.3%, ham weight by 5.3%, and loin weight by 7.6%.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".