Comparison of Angus cattle populations using gene variants and microsatellites
Bibliographic record
Abstract
Seven single nucleotide polymorphisms (SNP) in six genes (LEP, IGF2, MC1R, PMCH, CAPN1, and CAST), which have been previously associated with traits of economic importance, were used to compare allele frequencies of two populations of Angus cattle: a Canadian population and an International population. The same populations were also genotyped at 22 microsatellite markers. A significantly higher frequency of the CAST A allele, which is positively correlated with beef tenderness, was observed in the Canadian population (0.948) than in the International population (0.788; P = 0.007). Mean heterozygosity was higher for both populations using microsatellite data (0.578) compared with SNP data (0.332), due to the highly polymorphic nature of microsatellite markers. Key words: Angus cattle, diversity, heterozygosity, population assignment, selection
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".