Pathological Gambling and the Psychiatric Emergency Service
Bibliographic record
Abstract
OBJECTIVE: Pathological gambling (PG) has been associated with several negative mental health outcomes. We attempted to assess the impact of PG at the level of the psychiatric emergency service (PES). METHODS: In a first trial, clinical and demographic data were acquired from patients visiting the PES of a major university teaching hospital in downtown Montreal from July 1, 1996, to December 31, 2000. In a second trial, data were simultaneously acquired for a 2-year period in the above PES and in 3 others, beginning in September 2002. RESULTS: In the first trial, from 2000 onward, the number of visits by PG patients to the PES increased by over 50%. In the second trial, the high level of PES use observed from 2000 onward in the first trial was similarly observed at all 4 PESs. The clinical and demographic characteristics of these patients were typical of help-seeking PG patients. They were, however, significantly less likely to be frequent users of the PES or to be hospitalized. CONCLUSION: Although still manageable, the clinical impact of PG on the PES increased significantly during the course of this study.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".