The Canadian National Outcomes Measurement Study in Schizophrenia: overview of the patient sample and methodology
Bibliographic record
Abstract
OBJECTIVE: The Canadian National Outcomes Measurement Study in Schizophrenia (CNOMSS) is a prospective survey of routine clinical practice. METHOD: Patients with schizophrenia or a related disorder were consecutively enrolled from all regions of Canada. Both academic and community psychiatric clinics were included and patients were followed up for 2 years. Clinical and functional status, quality of life, medication and economic costs were assessed at enrollment and monitored throughout the follow-up period. RESULTS: Patients attending an academic clinic tended to be younger and more severely ill than those from community clinics. Both types of sites prescribed atypical neuroleptics to more than three-quarters of the patients. The majority of those enrolled were unemployed and living in poverty. Poor clinical status was associated with poverty. CONCLUSION: The CNOMSS provides demographic, clinical and treatment-related information about a large Canada-wide sample of psychiatric patients. The following three articles in this issue of Acta Psychiatrica Scandinavica explore issues related to medication, quality of life and resource utilization.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".