EVALUATION OF PHENOTYPIC AND GENETIC PARAMETERS RELATED TO CLASSIFICATION BY TYPE AND PRODUCTIVITY OF COWS OF THE DAIRY POPULATION IN BULGARIA
Bibliographic record
Abstract
Type classification on was performed for cows of the dairy population in Bulgaria by using experimental linear-descriptive system which includes five group of traits - general appearance milk forms, body capacity, legs and hoofs and milk system. Cows of 20 different breeds and kinds of crosses were assessed by the methodology applied in Canada and it is applied in Bulgaria at the recommendation of a FAO commission in connection with a conducted experiment. An object of the study were 1972 cows and logically the cows of Holstein-Friesian breed originating from USA, Canada and Israel had the highest score. The phenotypic correlations between the end score and the groups of traits had high values - from 0.654 to 0.964 and those with the milk productivity (milk and butterfat) varied from -0.123 to 0.606. The heritability of the type traits had low values - from 0.002 to 0.213 and corresponded with those obtained by other authors. The variance analysis for the end score showed that the age at first calving, the year (P<0.05) and the herd and breed (P<0.001) had a significant effect.
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 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".