Молочная продуктивность и адаптивная способность дочерей быков разного экогенеза
Bibliographic record
Abstract
The data on milk production of daughters of bulls of different breeds and ecogenesis. Analyzed milk yield, protein and fat content in milk of cows of breeding reproducer. A significant advantage of daughters of bulls of the Danish selection for the yield of milk and fat content in milk. For the yield of milk at first and second lactation, they exceeded the first group (control) on 457.4 kg (P > 0.999) and 487,8 kg (P > 0.99), butterfat 0.1% (P > 0.999) and 0.07% (P > 0.99), respectively. Daughters of bulls form the canadian selection was significantly inferior to the daughters of bulls of the red pied breed on the content of milk fat and milk protein. On fat content for first and second lactations of the daughters of the bulls form the canadian selection was inferior to the cows of the first group (control) by 0.03% (P > 0.95) and 0.14% (P > 0.999) and protein 0.04% (P > 0.99) and 0.06% (P > 0.99), respectively. Daughters of crossbred bulls was characterized by a higher content of protein in milk. Exceeded for this indicator cows of control group for first and second lactation by 0.1% (P > 0.999) and 0.07% (P > 0.999), respectively. The main reasons for disposal of cows from the herd: gynecological diseases, obstructed labour and complications after them, diseases of the udder and feet.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".