{"id":"W4414375216","doi":"10.1002/bsl.70014","title":"Generative Artificial Intelligence in Violence Risk Assessment: Emerging Technology and the Ethics of the Inevitable","year":2025,"lang":"en","type":"article","venue":"Behavioral Sciences & the Law","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Hospital Edmonton; University of Saskatchewan; University of Alberta","funders":"","keywords":"Generative grammar; Transparency (behavior); Intersection (aeronautics); Emerging technologies; Beneficence; Human factors and ergonomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05293437,0.0006041002,0.0006618216,0.002051531,0.004576774,0.01230211,0.002649826,0.006926206,0.0022076],"category_scores_gemma":[0.06246411,0.0004349192,0.0007835493,0.001066478,0.07145491,0.01087941,0.007594626,0.009074145,0.0004812718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005637061,"about_ca_system_score_gemma":0.005840736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001834192,"about_ca_topic_score_gemma":0.00233442,"domain_scores_codex":[0.949584,0.04131498,0.001086473,0.00145794,0.005742915,0.0008136529],"domain_scores_gemma":[0.9024245,0.08390267,0.002862841,0.005847654,0.003781582,0.001180747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008411503,0.00001526643,0.0007529949,0.00007709733,0.000008969006,0.00008543798,0.006118288,0.0006172417,0.00006724792,0.9757503,0.001688761,0.01481004],"study_design_scores_gemma":[0.000005454492,0.00001375774,0.0002395873,0.0003770423,0.000006506462,0.0001636919,0.002657084,0.001494582,0.0002211265,0.9693969,0.0254092,0.00001517725],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03739457,0.01951606,0.315981,0.379324,0.001925576,0.0002503662,0.00006771278,0.0001543515,0.2453864],"genre_scores_gemma":[0.8888022,0.006899464,0.07152457,0.02334743,0.0008819622,0.0003413091,0.00003983978,0.0001000142,0.008063265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05293437,"threshold_uncertainty_score":0.279947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08567177450774252,"score_gpt":0.4639122036426718,"score_spread":0.3782404291349293,"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."}}