{"id":"W566073287","doi":"","title":"CRIMINAL PROFILES OF DRINKING DRIVERS IN ONTARIO","year":2000,"lang":"en","type":"article","venue":"Proceedings International Council on Alcohol, Drugs and Traffic Safety Conference","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Driving under the influence; Criminal history; Sample (material); Criminology; Human factors and ergonomics; Drunk drivers; Poison control; Suicide prevention; Injury prevention; Drunk driving; Computer security; Law; Psychology; Engineering; Transport engineering; Political science; Environmental health; Computer science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002181441,0.0001695627,0.0002137595,0.001800654,0.002002931,0.0007033817,0.0004113459,0.0002140026,0.002254645],"category_scores_gemma":[0.001476882,0.000323824,0.0002051047,0.002846339,0.0004284488,0.0002843826,0.0007509578,0.0002259597,0.0002249865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007376983,"about_ca_system_score_gemma":0.00598411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9437032,"about_ca_topic_score_gemma":0.9786777,"domain_scores_codex":[0.9994193,0.00002919697,0.00003951594,0.0000510633,0.0002774928,0.0001834329],"domain_scores_gemma":[0.998975,0.00004357211,0.0003368426,0.00003254133,0.00037905,0.0002329407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003638033,0.00001213635,0.9935987,0.00001184041,0.000009081433,0.000144433,0.002395685,0.00003072438,0.0002604839,0.00004657248,0.0006246062,0.002829429],"study_design_scores_gemma":[0.000001035636,0.000009576779,0.9978378,0.000004564882,0.000002112315,0.00004419284,0.001296597,0.0000343692,0.00002357799,0.000007643535,0.0007357144,0.000002800862],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965525,0.00008715666,0.0000208147,0.00009071946,0.000002683907,0.00002195365,0.001548003,0.000003070712,0.001673061],"genre_scores_gemma":[0.9959952,0.0002418532,0.00004647142,0.00003477622,0.000002678209,0.00001828106,0.001477054,0.000003167938,0.002180437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05629677,"threshold_uncertainty_score":0.1132566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1070083254018011,"score_gpt":0.3079143834948184,"score_spread":0.2009060580930173,"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."}}