Экстерьерно-конституциональные показатели симментальских тёлок в динамике
Bibliographic record
Abstract
The research was aimed to study the linear growth of Simmental heifers of different combinations and Herefords by the periods of their growth based on the analysis of the basic measurements data obtained in different age periods and calculated body structure indices. One group of Hereford heifers and 3 groups of sires of German and Canadian selection mated with native females were selected as objects of the study. The trials were conducted with newborn animals as well as when they achieved the age of 8, 15 and 18 months age. The basic exterior measurements of the animals were performed by means of standard methods and their live weights were determined. The animals were kept under similar feeding and maintenance conditions. However, due to the heredity factor the difference in live weights has been observed already in new – born calves and by the age of 18 months they were as follows: native Simmentals – 379.5 kg (group 1), Herefords – 381.7 kg (group II), heifers of the same age with 25% share of German Simmentals blood – 411.6 kg (group III) and heifers with 25% share of Canadian Simmentals blood – 396.5 kg. There were recorded differences in the basic measurements as well. The indices obtained were used to establish the format of body-build of the heifers under study and to reveal certain growth regularities of the animals. Hence, the Simmental heifers with the blood of animals of German and Canadian selection with age had higher indices of body wideness, meatiness, they were more compact and distinguished by harmonious body structure with well-expressed beef qualities.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".