{"id":"W2737694780","doi":"10.1177/1079063216681563","title":"Sexual Violence Risk Prediction in a Police Context","year":2016,"lang":"en","type":"article","venue":"Sexual Abuse","topic":"Psychopathy, Forensic Psychiatry, Sexual Offending","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Recidivism; Psychology; Sex offense; Context (archaeology); Sexual violence; Documentation; Criminology; Human factors and ergonomics; Poison control; Suicide prevention; Risk assessment; Sexual abuse; Clinical psychology; Computer security; Medical emergency; Medicine; Computer science; Geography","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":[0.0006285605,0.0004048616,0.0003991244,0.0003868158,0.0001183295,0.0000325885,0.0004964505,0.0003033061,0.0008799168],"category_scores_gemma":[0.00009470927,0.0003162165,0.00005436966,0.0005322021,0.0002564014,0.0003332121,0.00006068127,0.0004283843,0.003399857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002050663,"about_ca_system_score_gemma":0.00005268011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005740923,"about_ca_topic_score_gemma":0.004846256,"domain_scores_codex":[0.9965994,0.0003784693,0.0007142386,0.001002572,0.0003763567,0.0009289223],"domain_scores_gemma":[0.9979735,0.0003720787,0.0003127461,0.0009995346,0.00006791402,0.0002742116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001029858,0.0008530178,0.4571517,0.00002464939,0.0001745346,0.00005596944,0.03279522,0.000004895496,0.006161033,0.001808667,0.1391276,0.360813],"study_design_scores_gemma":[0.01686156,0.00399474,0.8244436,0.0007104209,0.0001493477,0.0003466842,0.07481249,0.0001106293,0.0004095186,0.002875565,0.0732928,0.001992575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947938,0.0003549649,0.0006541825,0.0002071824,0.0449656,0.000447913,0.0002938655,0.0003161264,0.004822119],"genre_scores_gemma":[0.9933859,0.0000388463,0.0001226764,0.000543099,0.00231655,0.0001058118,0.00001468809,0.00007929337,0.003393122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.367292,"threshold_uncertainty_score":0.999929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02148576762356167,"score_gpt":0.2913817048956399,"score_spread":0.2698959372720782,"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."}}