Качество и технологические свойства мяса свиней канадской селекции
Bibliographic record
Abstract
The article provides the results of studies of morphological composition of carcasses, physical-chemical characteristics and a tasting estimation of the pork of Canadian selection. The experiment was conducted at the pig farm Troparyovo in the period of 2011-2013. The object of the research were purebred and crossbred animals, carcasses and half-carcasses, muscle tissue and boiled meat of the Canadian selection pigs. Pigs for the experiment were selected on the basis of peers in age, body weight and breed, according to the scheme of studies. The object of the research were Canadian selection pigs: 1 pure-bred Yorkshire pig breed, 2 hybrid animals (Landrace x Yorkshire), 3 three-breed (Yorkshire x Landrace x Duroc), 4 crossbred animals (Yorkshire χ Landrace χ terminal boar). Morphological composition of carcasses showed that the highest yield of a muscle tissue was obtained from carcasses of young crossbred (Landrace x Yorkshire x terminal boar) 64.8 %. The muscle tissue yield of crossbred youngsters in this group was more for 7.8 % (P pork from three-pedigree youngsters produced using Duroc boars has a better tasting estimate. It is recommended to use pigs of the Canadian selection to increase a productivity and quality of meat.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.006 |
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".