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Record W2613787007 · doi:10.1016/j.jid.2017.04.026

Genome-Wide Association Shows that Pigmentation Genes Play a Role in Skin Aging

2017· review· en· W2613787007 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.

fundA Canadian funder is recorded on the work.
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

VenueJournal of Investigative Dermatology · 2017
Typereview
Languageen
FieldMedicine
TopicSkin Protection and Aging
Canadian institutionsnot available
FundersCommon FundNIH Office of the DirectorNational Health and Medical Research CouncilMedical Research CouncilNational Institutes of HealthNational Cancer InstituteWestern UniversityNational Human Genome Research InstituteWellcome TrustOphthalmic Research Institute of AustraliaRaine Medical Research FoundationPfizer AustraliaKing's College LondonNational Institute of Neurological Disorders and StrokeNational Institute for Health and Care ResearchNational Institute of Mental HealthNational Heart, Lung, and Blood InstitutePfizerBroad InstituteCurtin University of TechnologyNational Institute on Drug AbuseUniversity of MiamiAmerican Health Assistance Foundation
KeywordsPhotoagingGenome-wide association studySkin cancerSkin AgingBiologyGenetic architectureAlleleGeneticsPenetranceSingle-nucleotide polymorphismTraitFamily aggregationGenetic associationGeneDermatologyQuantitative trait locusPhenotypeGenotypePathologyMedicineCancerDisease

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.957
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.093
GPT teacher head0.365
Teacher spread0.272 · 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