{"id":"W2053741935","doi":"10.1002/pam.20161","title":"Did Ontario's Zero Tolerance & Graduated Licensing Law reduce youth drunk driving?","year":2005,"lang":"en","type":"article","venue":"Journal of Policy Analysis and Management","topic":"Traffic and Road Safety","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Irvine; Centre for Addiction and Mental Health; Robert Wood Johnson Foundation","keywords":"Zero tolerance; License; Drunk drivers; Injury prevention; Demographic economics; Drunk driving; Driving under the influence; Suicide prevention; Poison control; Human factors and ergonomics; Psychology; Demography; Political science; Medicine; Law; Economics; Environmental health; Sociology","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001694852,0.0001151411,0.0003233159,0.0005777053,0.001815658,0.001329283,0.001802204,0.0008985932,0.005493688],"category_scores_gemma":[0.007083971,0.0002125478,0.0005530276,0.001058303,0.001141908,0.000516338,0.0008679483,0.0008093019,0.0003872704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03645919,"about_ca_system_score_gemma":0.07226122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9818109,"about_ca_topic_score_gemma":0.9941971,"domain_scores_codex":[0.9974849,0.0002955128,0.00007396591,0.0001729476,0.0009128328,0.001059772],"domain_scores_gemma":[0.9935854,0.000537898,0.001346048,0.0002462024,0.001890814,0.002393648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006639156,0.0009276149,0.852585,0.0003152647,0.0002051394,0.0002662302,0.003859027,0.0007902876,0.00135992,0.004969928,0.05335203,0.08070564],"study_design_scores_gemma":[0.00007302539,0.0001659196,0.9748664,0.00009049998,0.00007590492,0.00001983336,0.001981656,0.0002663826,0.0003748877,0.0001864854,0.02188275,0.00001631183],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9283546,0.0016694,0.0002920605,0.02787251,0.0001827108,0.0001933912,0.005424846,0.00008265487,0.03592791],"genre_scores_gemma":[0.9847148,0.0005725575,0.0003443133,0.002293844,0.00005382741,0.0000704883,0.0009092625,0.00001236343,0.0110285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03645919,"threshold_uncertainty_score":0.2645312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174426139456237,"score_gpt":0.2360393207782421,"score_spread":0.2242950593836798,"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."}}