{"id":"W2523175666","doi":"10.1177/0093854816668916","title":"Using Graphs to Improve Violence Risk Communication","year":2016,"lang":"en","type":"article","venue":"Criminal Justice and Behavior","topic":"Psychopathy, Forensic Psychiatry, Sexual Offending","field":"Psychology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ottawa Mental Health Centre; Carleton University; University of Toronto","funders":"","keywords":"Recidivism; Bar chart; Risk assessment; Psychology; Graph; Actuarial science; Risk communication; Computer science; Computer security; Medicine; Clinical psychology; Risk analysis (engineering); Mathematics; Statistics; Business; Theoretical computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0002765575,0.0002138188,0.0001948885,0.0001581327,0.0002650031,0.0000386559,0.000308404,0.0001214393,0.0001401705],"category_scores_gemma":[0.00006660731,0.000164758,0.00005783973,0.0001628624,0.0001783399,0.0001532637,0.0001066283,0.0001832509,0.0001985034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004801474,"about_ca_system_score_gemma":0.00001955302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003685405,"about_ca_topic_score_gemma":0.00003754013,"domain_scores_codex":[0.9985317,0.0001281092,0.0003020123,0.0004689398,0.0001615776,0.0004076786],"domain_scores_gemma":[0.9986465,0.0001549632,0.000166978,0.0007217529,0.00008145392,0.0002283814],"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":[0.000509534,0.0008357234,0.02845616,0.0002107007,0.00005164956,0.00005876007,0.006953874,6.203296e-7,0.1100275,0.009384657,0.00787834,0.8356324],"study_design_scores_gemma":[0.005531169,0.002832343,0.8806558,0.001766286,0.03444623,0.0006493364,0.06021192,0.00003889833,0.004901266,0.003566882,0.003049084,0.002350764],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771847,0.0006094428,0.002224237,0.0001181356,0.01861038,0.0003107322,0.00006575271,0.00006946414,0.0008072098],"genre_scores_gemma":[0.9942619,0.0001493279,0.004554574,0.0003538727,0.0004145304,0.00007400495,0.000003309698,0.00003407727,0.0001544553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8521997,"threshold_uncertainty_score":0.6718637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06897440007446133,"score_gpt":0.3750689831942811,"score_spread":0.3060945831198197,"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."}}