{"id":"W3090548827","doi":"10.1016/j.jcrimjus.2020.101741","title":"Exploring a machine learning approach: Predicting death in sexual assault","year":2020,"lang":"en","type":"article","venue":"Journal of Criminal Justice","topic":"Sexual Assault and Victimization Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"University of South Florida","keywords":"Sexual assault; Psychology; Computer science; Artificial intelligence; Human factors and ergonomics; Poison control; Machine learning; Medical emergency; Criminology; Computer security; Medicine","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":[0.003325625,0.0006674001,0.0005838698,0.001920987,0.0007323307,0.002129811,0.001008097,0.0010954,0.001748893],"category_scores_gemma":[0.01219484,0.0002600736,0.0007085185,0.001081438,0.0004425708,0.001377679,0.0005979919,0.001933569,0.0002594294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009656224,"about_ca_system_score_gemma":0.001162701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01796761,"about_ca_topic_score_gemma":0.01756395,"domain_scores_codex":[0.9988821,0.0008130721,0.00005027145,0.0001143293,0.00006956886,0.00007071767],"domain_scores_gemma":[0.9878991,0.01089054,0.0002679486,0.0001964288,0.0005677792,0.0001782961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005782098,0.002217238,0.468967,0.0001793557,0.0006077603,0.0002362254,0.0005229771,0.2845919,0.0006220664,0.008667422,0.003986033,0.2288237],"study_design_scores_gemma":[0.00001550155,0.0001179282,0.01418026,0.00003331288,0.00005808225,0.0000314299,0.0002436624,0.9788916,0.0001774845,0.005958219,0.0002799965,0.00001249143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9187061,0.001255517,0.06919479,0.005485766,0.0001460919,0.0001104757,0.0005172048,0.0002145743,0.004369417],"genre_scores_gemma":[0.9862877,0.000230969,0.01215483,0.0001067742,0.00008091283,0.00002301257,0.0002611784,0.000007316487,0.0008472838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01796761,"threshold_uncertainty_score":0.03572607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2962143634860823,"score_gpt":0.3673385572481199,"score_spread":0.0711241937620376,"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."}}