Investigation of injection cessation in a cohort of injection drug users in Montreal
Bibliographic record
Abstract
Objective. To identify predictors of injection cessation among Montreal active injection drug users (IDUs). Design. Subjects were selected from the St. Luc Cohort, a prospective study that has accrued IDUs since 1988. Subjects were eligible if they completed at least 3 visits between 1995 and 1999. Predictors of sustained and of short injection cessation were examined using logistic and Cox proportional regression. Results. Sustained injection cessation was negatively associated with injection frequency, a surrogate marker of addiction severity. Getting syringes at needle exchange programs or pharmacies impacted positively on the ability of moderate users to initiate and sustain injection cessation. Recent exposure to addiction treatment predicted the occurrence of a short injection cessation episode. This association was stronger among participants reporting longer exposure to treatment. Conclusion. These findings suggest that harm reduction and addiction treatment interventions can influence the occurrence of injection cessation. This information is important for social and health policy planning.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".