Descriptive evaluation of the section 8 process for interferon treatment of patients with chronic hepatitis C in Ontario
Bibliographic record
Abstract
Background. Chronic hepatitis C (HCV) is a significant cause of morbidity in Ontario. In 1996-1997, the only treatment available was interferon, an expensive, inefficacious therapy with significant side effects. Publicly funded interferon therapy was available through an individualized process requiring review of applications by expert hepatologists. Results. Reviewers approved 83% of 370 applicants during the study period. Kappa statistic for agreement with guidelines was 0.225. Only 22% of approved patients appeared to complete therapy. 56% of drug costs were paid for incomplete therapy. Conclusions. Reviewers adopt an overly permissive stance toward approval of interferon for HCV patients. Research questions. Do reviewers' approvals of therapy agree with clinical practice guidelines in effect during 1996-1997? What proportion of approved patients finishes prescribed therapy? What are the costs associated with successful and unsuccessful therapy?Methods. Descriptive analysis of clinical and administrative databases of the Ontario Drug Benefit Program.
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.
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 | 0.006 | 0.051 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.012 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".