Understanding psychiatric-legal disagreements in not criminally responsible on account of mental disorder cases: a gradient boosting model perspective
Our findings suggest a pattern of judicial path dependence and risk aversion in CETM decisions. Machine learning offers a promising avenue to elucidate decision-making in forensic psychiatric tribunals.
Authors
- Stéphanie Borduas Pagé (ORCID: https://orcid.org/0009-0007-3037-2410)
- Alexandre Hudon (ORCID: https://orcid.org/0000-0002-4868-0928)
- Patrycja Myszak
- Aymane Haddou
- Coralie Sergerie-Dufresne
Institutions
- Université Sainte-Anne (CA)
- Université du Québec à Montréal (CA)
- Institut national de psychiatrie légale Philippe-Pinel (CA)
- Institut National de la Recherche Scientifique (CA)
- Institut Universitaire en Santé Mentale de Québec (CA)
- Université de Montréal (CA)
Publication Details
- Journal
- Frontiers in Psychology
- Published
- 2026-01-06
- DOI
- https://doi.org/10.3389/fpsyg.2025.1666828
- Primary Topic
- Psychopathy, Forensic Psychiatry, Sexual Offending
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Institut de Valorisation des Données