Overlap of clusters of psychiatric symptoms among clients of a comprehensive addiction treatment service.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article describes the prevalence and overlap of psychiatric symptoms among 2,784 clients of the outpatient programs at a comprehensive addictions treatment facility. The psychiatric symptoms were assessed by a computer-based questionnaire, and the analysis focused on the overlap of symptom clusters (multimorbidity) and their relation to selected intake variables known to be predictors of treatment outcome. Of all clients, 27.4% scored positive for 1, 18.9% for 2, and 22.3% for 3 or more clusters, the most frequent being depression, anxiety, and history of conduct disorder. Multimorbidity was significantly correlated with female gender, unemployment, less social support, cannabis problems, fewer legal problems, and increased treatment engagement. Clients with more substance use disorders presented more psychiatric symptoms.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 it