Результаты использования импортных мясных пород свиней при скрещивании в Сибири
Bibliographic record
Abstract
A study the effectiveness of crossing sows of Large White breed with Yorkshire boars the Canadian breeding and Landras boars Irish breeding of various combinations. The average daily gain of crossbred (Large White x Yorkshire) were fattening up 751g, against 728 g in control, that is was higher in 23 grams. The thickness of the fat they reached 26.5 mm or 24.5% less than in the controls. In hybrid (Large White x Yorkshire) x Landrace daily gain was higher in the 61g compared with the control group, fat thickness was 23.6 mm. As a result of tasting the meat was better than purebred animals from Novosibirsk type of large white breed and hybrid (Large White x Yorkshire) x Landrace. Fat three-breed cross, where the breed was the final selection of Irish landraces, has a lower melting point
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 teacher head, 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".