MétaCan
Menu
Back to cohort

Interaction of <scp><i>MC1R</i></scp> and <scp><i>PMEL</i></scp> alleles on solid coat colors in <scp>H</scp>ighland cattle

2012· article· en· W2050505300 on OpenAlex
S. M. Schmutz, Dayna L. Dreger

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnimal Genetics · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
Topicmelanin and skin pigmentation
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCoatBiologyAlleleFood scienceGeneticsGene

Abstract

fetched live from OpenAlex

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score1.000

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 head0.016
GPT teacher head0.276
Teacher spread0.260 · 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