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Record W4233469836 · doi:10.1051/gse:2003033

Analysis of <i>PDE6D</i> and <i>PDE6G</i> genes for generalised progressive retinal atrophy (gPRA) mutations in dogs

2003· article· en· W4233469836 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

VenueGenetics Selection Evolution · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinal Development and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsExonBiologyGeneticsGeneIntronSNPRetinal degenerationSingle-nucleotide polymorphismMutationCoding regionAtrophyGenotype

Abstract

fetched live from OpenAlex

The δ and γ subunits of the cGMP-phosphodiesterase ( PDE6D , PDE6G ) genes were screened in order to identify mutations causing generalised progressive retinal atrophy (gPRA) in dogs. In the PDE6D gene, single nucleotide polymorphisms (SNP) were observed in exon 4, in introns 2 and 3 and in the 3' untranslated region (UTR) of different dog breeds. In the coding region of the PDE6G gene, exclusively healthy Labrador Retrievers showed an A → G transition in exon 4 without amino acid exchange. SNP were also observed in introns 1 and 2 in different dog breeds. The different SNP were used as intragenic markers to investigate the involvement of both genes in gPRA. The informative substitutions allowed us to exclude mutations in the PDE6D and PDE6G genes as causing retinal degeneration in 15 of the 22 dog breeds with presumed autosomal recessively transmitted (ar) gPRA.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score0.614

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.007
GPT teacher head0.244
Teacher spread0.238 · 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