Interaction of <scp><i>MC1R</i></scp> and <scp><i>PMEL</i></scp> alleles on solid coat colors in <scp>H</scp>ighland cattle
Bibliographic record
Abstract
Six solid colors occur in Highland cattle: black, dun, silver dun and red, yellow, and white. These six coat colors are explained by a non-epistatic interaction of the genotypes at the MC1R and PMEL genes. A three base pair deletion in the PMEL gene leading to the deletion of a leucine from the signal peptide is observed in dilute-colored Highland cattle (c.50_52delTTC, p.Leu18del). The mutant PMEL allele acts in a semi-dominant manner. Dun Galloway cattle also have one copy of the deletion allele, and silver dun Galloway cattle have two copies. The presence of two adjacent leucine residues at the site of this deletion is highly conserved in human, horse, mouse and chicken as well as in cattle with undiluted coat colors. Highland and Galloway cattle thus exhibit a similar dose-dependent dilution effect based on the number of PMEL :c.50_51delTTC alleles, as Charolais cattle with PMEL :c.64G>A alleles. The PMEL :c.64G>A allele was not found in Highland or Galloway cattle.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".