Original Research Are Mental Health Services for Children Distributed According to Needs?
Bibliographic record
Abstract
The existence of geographic variations in the use of healthcare services has largely been documented in physical health (1–2). Fewer studies have examined variations in men-tal health services. Yet, geographic variations have been ob-served among states, provinces, and regions (3–6). Many factors can explain the variations in health services utilization. These factors include patient characteristics, health resources, and provider characteristics. Ultimately, geographic variations in health services utilization and re-sources are no problem if they reflect population needs. 176 Can J Psychiatry, Vol 48, No 3, April 2003 Objectives: The purpose of this study was twofold: 1) to determine whether publicly funded mental health services and resources available in 4 large regions in the province of Quebec were distributed according to the mental health needs of children aged 6 to 14 years and 2) to assess whether the variations in mental health services and resources across the 4 regions had changed over a 5-year period.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".