Brain injury in a forensic psychiatry population
Bibliographic record
Abstract
OBJECTIVES: The prevalence and profile of adults with a history of traumatic brain injury (TBI) has not been studied in large North American forensic mental health populations. This study investigated how adults with a documented history of TBI differed with the non-TBI forensic population with respect to demographics, psychiatric diagnoses and history of offences. METHOD: A retrospective chart review of all consecutive admissions to a forensic psychiatry programme in Toronto, Canada was conducted. Information on history of TBI, psychiatric diagnoses, living environments and types of criminal offences were obtained from medical records. RESULTS: History of TBI was ascertained in 23% of 394 eligible patient records. Compared to those without a documented history of TBI, persons with this history were less likely to be diagnosed with schizophrenia but more likely to have alcohol/substance abuse disorder. There were also differences observed with respect to offence profiles. CONCLUSIONS: This study provides evidence to support routine screening for a history of TBI in forensic psychiatry.
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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 | 0.002 |
| 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 | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".