{"id":"W4390870758","doi":"10.1016/s2215-0366(23)00427-3","title":"Engaging forensic psychiatry patients in health-care decision making","year":2024,"lang":"en","type":"article","venue":"The Lancet Psychiatry","topic":"Healthcare Decision-Making and Restraints","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Waypoint Centre for Mental Health Care; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Commit; Punitive damages; Forensic psychiatry; Criminal justice; Psychiatry; Mental illness; Mental health; Psychology; Health care; Medicine; Criminology; Political science; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001426305,0.0003156582,0.0004947413,0.0003616569,0.0003629727,0.0001319633,0.0006636951,0.0002323474,0.0002664031],"category_scores_gemma":[0.0001007459,0.0002194146,0.0001857869,0.0008268993,0.00008152305,0.00009271436,0.0001008803,0.001361467,0.0006801539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001742982,"about_ca_system_score_gemma":0.0004049174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001697072,"about_ca_topic_score_gemma":0.001074182,"domain_scores_codex":[0.9963688,0.0005416189,0.0008676227,0.0007525507,0.0004746804,0.0009947706],"domain_scores_gemma":[0.9980256,0.000555681,0.0001618992,0.001071608,0.00005536885,0.0001298439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003402915,0.0001687628,0.1134986,0.0004891357,0.00006905845,0.00007013272,0.01130034,0.00004638002,2.560053e-7,0.01782587,0.0826767,0.7735145],"study_design_scores_gemma":[0.002620585,0.0003994735,0.7742929,0.009129155,0.00002855112,0.0002004771,0.01537286,0.0002649354,2.375192e-7,0.0886305,0.108376,0.0006843577],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8802037,0.03284919,0.0009735164,0.03267001,0.04171317,0.0007713618,0.0000748157,0.0004387132,0.01030553],"genre_scores_gemma":[0.9827843,0.0001577927,0.00707651,0.006716663,0.003023155,0.0000477637,0.00002263338,0.00008395949,0.00008726027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7728301,"threshold_uncertainty_score":0.8947467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02738360413468311,"score_gpt":0.3879937736625268,"score_spread":0.3606101695278437,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}