{"id":"W2143698709","doi":"10.1177/0886260504268004","title":"Applying a Forensic Actuarial Assessment (the Violence Risk Appraisal Guide) to Nonforensic Patients","year":2004,"lang":"en","type":"article","venue":"Journal of Interpersonal Violence","topic":"Psychopathy, Forensic Psychiatry, Sexual Offending","field":"Psychology","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Waypoint Centre for Mental Health Care","funders":"","keywords":"Risk assessment; Forensic science; Interpersonal violence; Human factors and ergonomics; Poison control; Psychology; Injury prevention; Suicide prevention; Occupational safety and health; Medicine; Risk management tools; Psychiatry; Actuarial science; Clinical psychology; Medical emergency; Computer security; Computer science; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01772262,0.0005697653,0.0006072379,0.001993399,0.0004618887,0.000783512,0.0007916812,0.0004492129,0.00397296],"category_scores_gemma":[0.0942729,0.0002513262,0.0006965967,0.000763536,0.0005583995,0.0009011274,0.001556577,0.0009636263,0.00128863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005943847,"about_ca_system_score_gemma":0.0009498644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001539544,"about_ca_topic_score_gemma":0.003301153,"domain_scores_codex":[0.9910377,0.006025117,0.001144,0.0004528406,0.001152278,0.0001880967],"domain_scores_gemma":[0.9554568,0.02686565,0.006722108,0.004625983,0.005580991,0.0007484935],"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":[0.001643749,0.001030066,0.2630084,0.000322763,0.0002537545,0.0004426167,0.002113834,0.01779516,0.001664564,0.004751008,0.01987276,0.6871013],"study_design_scores_gemma":[0.000709007,0.00934076,0.6508825,0.0008990262,0.0003420257,0.003516304,0.002791966,0.2453068,0.01310511,0.02844134,0.04401181,0.0006533326],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7574037,0.0005607787,0.2087051,0.001835624,0.000366595,0.007159343,0.002297636,0.001810293,0.01986098],"genre_scores_gemma":[0.8445807,0.0004856973,0.1483324,0.0004207803,0.00008612113,0.00252793,0.001008003,0.000103062,0.002455317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01772262,"threshold_uncertainty_score":0.09372729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213009823091264,"score_gpt":0.3427564875074673,"score_spread":0.3306263892765547,"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."}}