Bibliographic record
Abstract
The impact on the cattle herds’ gene pool depends on the genetic contribution of such categories of breeding animals as fathers of cows (OK), mothers of cows (MK), fathers of fathers of cows (OOK), mothers of fathers (MO), fathers of mothers (OM), so on. The purpose of the study was the regularity of the appearance of record cows in various categories of breeding animals based on the data of the exhibitions "Stars of the Moscow region" in the adjacent 2018-2019 years’ determining. A total of 111 dairy cows were analyzed. It was found that the record cows in the offspring of high breeding value sires of specialized dairy breeds’ various categories of animals appearance is a random phenomenon: they can be both daughters of sires (O) and granddaughters (OM). As studies have shown, the characteristics of milk productivity (O) of producers (n= 2) who had record-breaking daughters (n=5) are as follows: lactation by the count of 1.8; number of days of lactation 302.6; milk yield of 9089.9 kg of milk with a fat content of 4.65%, protein content of 3.3%. 58 recordists participated in the exhibition "Stars of the Moscow region-2018". Of the total number of bulls, fathers of these cows, only 4 of them (6.1%) had more than one daughter: Nog-Badus-M 4900459 (3 daughters); Suban-M 107522499 (2 daughters); Image-M 50421237 (2 daughters); Montreal-M 50122424 (2 daughters). The productivity of the daughters of one of these bulls of the Image-M 50421237, amounted to 29 kg of daily milk yield, that is, 2.3 kg less than the average for the population of recordists (n= 26), whose productivity is 31.3 kg of milk.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".