LINK BETWEEN OUTLINE EVALUATION AND BLOOD RELATIONSHIP COUNSINLY BREED, FROMING ANIMAL GENOTYPE
Why this work is in the frame
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Bibliographic record
Abstract
When developing Ayshire breed herds, we used breeding population of related breed: FAY – Finnish Ayshire, SRB – Swedish red, NRF – Norwegian red, CANAY – Canada red, ORDM – Danish red, the research on influence of their blood relation on exterior characteristics of cows is actual. Studied livestock (n=855) has the following blood parts: 56,5±0,55; 12,9±0,31; 10,7±0,16; 17,8±0,60; 0,7±0,08 % consequently. Classes according to blood part, %: 0.0; 0,1 - 12,5; 12,5 - 24,9; 25,0 - 37,4; 37,5 - 49,9; 50,0 - 62,4; 62,5 - 74,9; 75,0 - 87,4; more than 87,5. Blood relationship according to CAN have a positive impact on udder evaluation (+0,130ххх), general view (+0,155ххх), final (+0,164ххх) and identification mark UDC (+0,119ххх), but negative blood relationship according to FAY on general view (-0,138ххх), according to SRB and NRF breed – on udder evaluation (-0,163ххх; -0,111ххх) and final (-0,133ххх; -0,100хх). Difference between force coefficient influence of blood relationship on exterior features according to FAY and CAN ranges from 7,9 to 18,7 units, and on UDC and FLC s equal to 6,6 and 3,5 units. Joint effect of blood relationship according to FAY and CAN is lower on lineal feature, and on exterior indices it increases. For improvement of individual exterior features account must be taken of blood relationship element at proband according to particular related breed of Ayshire group of diary cattle, focusing on blood element on FAY and CAN and their combinations.
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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 | 0.001 |
| 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 it