Additional file 1 of Sleep and liver function biomarkers in relation to risk of incident liver cancer: a nationwide prospective cohort study
Bibliographic record
Abstract
Additional file 1: Table S1. Definition of the sleep traits and healthy sleep scoring system in the UK Biobank. Table S2. Association of sleep score with the risk of incident liver cancer (N = 356,850). Table S3. Stratified analyses of the associations between liver function biomarkers and the risk of incident liver cancer (N = 356,894). Table S4. Association of sleep with the risk of incident liver cancer after excluding incident liver cancer in the first 2 years of follow-up (N = 356,850). Table S5. Associations of liver function biomarkers with the risk of incident liver cancer after excluding incident liver cancer in the first 2 years of follow-up (N = 356,850). Table S6. Association of sleep with the risk of incident liver cancer after excluding individuals with liver disease at baseline (N = 356,858). Table S7. Associations of liver function biomarkers with the risk for incident liver cancer after excluding individuals with liver disease at baseline (N = 356,858). Table S8. Association of sleep with the risk of incident liver cancer after further adjustment (N = 356,894). Table S9. Associations of liver function biomarkers with the risk for incident liver cancer after further adjustment (N = 356,894). Table S10. Association of sleep with the risk of incident liver cancer by inverse probability weighting analysis (N = 356,894). Table S11. Associations of liver function biomarkers with the risk for incident liver cancer by inverse probability weighting analysis (N = 356,894). Table S12. Association of sleep with the risk of incident liver cancer in mortality competing risk model (N = 356,894). Table S13. Associations of liver function biomarkers with the risk for incident liver cancer in mortality competing risk model (N = 356,894). Fig. S1. Kaplan–Meier curves of sleep and independent sleep traits with incident liver cancer. Fig. S2. Association of sleep duration with the risk of incident liver cancer across different hours (N = 356,894). Fig. S3. Associations between liver function biomarkers and the risk of incident liver cancer by restricted cubic spline regression (N = 356,894)
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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 | 0.001 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.506 | 0.038 |
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".