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Record W6930115597 · doi:10.5281/zenodo.10118546

Phenotypes associated with genetic determinants of type I interferon regulation in the UK Biobank: a protocol

2023· article· en· W6930115597 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.

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

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typearticle
Languageen
FieldPsychology
TopicPsychological Testing and Assessment
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPhenotypeTable (database)PhenomeGeneProtocol (science)Genetic associationDisease

Abstract

fetched live from OpenAlex

This document contains extended data with supporting tables, methods and references related to the published protocol. Table of contents SUPPLEMENTAL TABLES p4Supplemental table 1. Genes linked to type I interferonopathies (n=38). p4Supplemental table 2. Gene Ontology terms used to identify genes of interest (n=31). p7Supplemental table 3. Clinical and radiological phenotypes of interest (n=18). p8Supplemental table 4. Clinical phenotypes included in the phenome assessment (n=196). p14 SUPPLEMENTAL METHODS p40Supplemental methods 1. Strengthening the Reporting of Genetic Association Studies (STREGA) checklist. p40Supplemental methods 2. Pre-planned sensitivity analyses. p45Supplemental methods 3. Power analysis methodology. p47 SUPPLEMENTAL REFERENCES p48

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.914
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0030.001

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 head0.106
GPT teacher head0.361
Teacher spread0.255 · 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