Phenotypes associated with genetic determinants of type I interferon regulation in the UK Biobank: a protocol
Bibliographic record
Abstract
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
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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 | 0.025 | 0.079 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.352 | 0.107 |
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".