Bibliographic record
Abstract
Increase in animals’ productivity takes place by means of breeding. The authors make a case that the age of the first-calf cows and the period of on-the-farm research are very significant. The researchers have discovered the Irmensky type of the black-and-white cattle by means of application of the world genetic material, which is produced by means of stock crossbreeding with the Holstein breeds of American and Canadian Selection. The research is aimed at exploring the age of the first calving on the fertility of cows. The research estimates 529 full-grown cows of the Irmensky black-and-white bull reproductive group at the breeding plant «Irmen». The authors analyse milk and milk and fat productivity of 16 servicing bulls which productivity was estimated for 305 days of the first milking. In order to analyse the impact of the first-calf age on the productive qualities of bulls’ daughters, the scientists took into account the age of mothers; mothers’ mothers, mothers and daughters; and daughters. The analysis has shown that milk productivity parameters are observed in bulls’ daughters. These parameters are received from the mothers aged less than 27 months at the first calving. Evaluation of the bulls’ daughters and the age of mother’s mother at the first calving shows the relation between the fathers and productivity. Some generations produce higher milk yield and more fat at the early calving whereas some generations do the same parameters at the late calving. The productivity of the bulls’ daughters was higher on 154 kg at the late calving (mothers and daughters). The group of daughters consisted of the cows aged more than 27 months at the first calving and produced 308 kg of milk more (Р < 0,01), than the cows of the same age calved until the age of 27 months. The authors’ opinion is concerned with the fact that the difference in parameters of productivity between the compared groups of the bulls’ daughters depends on the fathers’ inherited abilities.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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".