Scope For A Joint Genetic Evaluation Of New Zealand And Australian Angus Cattle
Bibliographic record
Abstract
INTRODUCTION Widespread exchange of genetic material through import/export of live animals, semen and embryos has created strong genetic links between countries. For Angus in Australia (AU) and New Zealand (NZ) these are predominantly due to NZ bulls with progeny in AU, or North American bulls (USA and Canada) or their semen being imported into both countries. With increasing computing power, international genetic evaluations have become possible. However, such enterprise assumes that all animals belong to the same population and rank the same in each country. The objectives of this study were to investigate these issues with a view to routine joint genetic evaluation of Angus cattle in AU and NZ. This involved estimation of genetic parameters for growth traits in NZ Angus and comparison of estimated breeding values (EBVs) for animals with progeny in both countries. Univariate Multivariate Trait BW WW YW FW BW WW YW FW No. of records 19,475 60,218 28,599 23,711 14,382 23,6
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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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".