{"id":"W1525669388","doi":"10.1002/9780470061589.fsa325","title":"Risk Assessment: Patient and Detainee","year":2009,"lang":"en","type":"other","venue":"Wiley Encyclopedia of Forensic Science","topic":"Psychopathy, Forensic Psychiatry, Sexual Offending","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Psychology; Variety (cybernetics); Risk assessment; Risk management; Strengths and weaknesses; Risk management tools; Identification (biology); Applied psychology; Social psychology; Risk analysis (engineering); Computer science; Medicine; Business; Computer security; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007231567,0.0006425126,0.0008104793,0.001123826,0.0001845721,0.00005665005,0.0008905198,0.0003744353,0.001115214],"category_scores_gemma":[0.0001969379,0.0005849508,0.000143144,0.001056261,0.00212525,0.0001773422,0.0001995384,0.0005854921,0.0001240048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001030962,"about_ca_system_score_gemma":0.0002789648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005410548,"about_ca_topic_score_gemma":0.0001899384,"domain_scores_codex":[0.9956608,0.0001335033,0.0007325668,0.001404289,0.001087478,0.0009813948],"domain_scores_gemma":[0.996678,0.0001467695,0.001244087,0.001409323,0.0001182918,0.0004035372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001935924,0.0001364994,0.004950307,0.00002666034,0.00005749537,0.00002216153,0.0009115301,8.875153e-7,0.00002458502,0.00331641,0.7312702,0.2592639],"study_design_scores_gemma":[0.001427068,0.001138978,0.04890696,0.0009056153,0.0002593398,0.0001245826,0.0009554167,0.00005127833,0.00002955898,0.004645142,0.9401926,0.001363477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007514863,0.004041557,0.000205509,0.00008298078,0.06217163,0.0006928655,0.0001665443,0.0002209668,0.9249031],"genre_scores_gemma":[0.1689422,0.02587889,0.1797317,0.003018697,0.02061987,0.0005203867,0.000273398,0.003843174,0.5971717],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3277314,"threshold_uncertainty_score":0.9997979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009057547829438645,"score_gpt":0.2885935154075639,"score_spread":0.2795359675781253,"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."}}