Additional file 1 of High incidence of hepatocellular carcinoma and cirrhotic complications in patients with psychiatric illness: a territory-wide cohort study
Bibliographic record
Abstract
Additional file 1:Table S1. ICD-9-CM diagnosis codes involved for patients with other psychiatric illnesses. Table S2. ICD-9-CM diagnosis and procedure codes for hepatic complications, liver cirrhosis, liver transplantation, HCC, and HCC treatment. Table S3. List of viral serological markers retrieved. Table S4. Drug codes of antiviral treatment used in Hospital Authority internally. Table S5. List of liver-related events for each psychiatric illness of the patients in details. Table S6. List of chronic liver diseases in patients with different psychiatric illness. Table S7. List of chronic liver diseases in 1,461 patients with liver-related events. Table S8. Causes of death in patients with psychiatric illness. Figure S1. Study patient flow. Figure S2. Expected cumulative incidence of hepatocellular carcinoma based on population data and observed cumulative incidence of hepatocellular carcinoma in patients with (A) drug-induced mental disorders, (B) alcohol-induced mental disorders, (C) psychotic disorders, and (D) mood disorders with age- and sex-standardization.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| 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) | 0.513 | 0.033 |
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".