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Record W7098496744

Scope For A Joint Genetic Evaluation Of New Zealand And Australian Angus Cattle

2007· article· en· W7098496744 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicComputational Physics and Python Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationUnivariateArtificial inseminationGenetic gainLivestockScope (computer science)Genetic resourcesBeef cattle
DOInot available

Abstract

fetched live from OpenAlex

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

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.844
Threshold uncertainty score0.146

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.072
GPT teacher head0.342
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it