{"id":"W3145638658","doi":"","title":"Can alcohol price policies be used to reduce drunk driving ? Evidence from Canada.","year":2001,"lang":"en","type":"article","venue":"Substance Use & Misuse","topic":"Traffic and Road Safety","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Drunk driving; Drunk drivers; Alcohol; Driving under the influence; Poison control; Environmental health; Injury prevention; Suicide prevention; Human factors and ergonomics; Psychology; Business; Medicine; Chemistry","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":[0.004700897,0.0005223632,0.001382194,0.001142475,0.002175798,0.001815981,0.002256813,0.002353747,0.008774923],"category_scores_gemma":[0.03370227,0.0005616393,0.001832767,0.003555726,0.00166614,0.0005872205,0.0008288409,0.002879323,0.0006530486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02428629,"about_ca_system_score_gemma":0.07171801,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9776517,"about_ca_topic_score_gemma":0.9873422,"domain_scores_codex":[0.9939956,0.001957748,0.0004586511,0.000418901,0.00212117,0.001047895],"domain_scores_gemma":[0.9761446,0.007002018,0.003988825,0.0007270753,0.009402887,0.002734647],"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":[0.03810274,0.004399751,0.3146748,0.0252265,0.01065102,0.0008288723,0.003363249,0.002292069,0.0008354114,0.008595847,0.1020923,0.4889375],"study_design_scores_gemma":[0.01380097,0.004172095,0.8557629,0.01647862,0.02325215,0.0002735982,0.003991499,0.001439949,0.00123758,0.002533387,0.07680813,0.0002490885],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4834875,0.2946213,0.001226235,0.1074705,0.002398651,0.001820261,0.02402833,0.0001575858,0.08478974],"genre_scores_gemma":[0.8647022,0.1125581,0.001538993,0.01169617,0.000468774,0.0003111133,0.003056193,0.00004908773,0.005619361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02428629,"threshold_uncertainty_score":0.1762102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04160028008914181,"score_gpt":0.2572449572092699,"score_spread":0.2156446771201281,"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."}}