{"id":"W2142060991","doi":"10.1081/ja-100108433","title":"CAN ALCOHOL PRICE POLICIES BE USED TO REDUCE DRUNK DRIVING? EVIDENCE FROM CANADA<sup>*</sup>","year":2001,"lang":"en","type":"article","venue":"Substance Use & Misuse","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Drunk driving; Alcohol; Drunk drivers; Price elasticity of demand; Population; Alcohol consumption; Confounding; Environmental health; Injury prevention; Poison control; Economics; Demographic economics; Medicine; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003546038,0.0003518001,0.0008360995,0.0008946442,0.001217141,0.001100165,0.001476148,0.001047161,0.006168533],"category_scores_gemma":[0.02570222,0.0003039655,0.001476933,0.003212851,0.0009819546,0.0004019515,0.0006085362,0.001154627,0.0003773097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02004578,"about_ca_system_score_gemma":0.04771407,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9800864,"about_ca_topic_score_gemma":0.9879533,"domain_scores_codex":[0.9961545,0.001285345,0.00030433,0.000201601,0.00145417,0.0006000013],"domain_scores_gemma":[0.9811396,0.007135961,0.00426065,0.0005510408,0.005572697,0.001340086],"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":[0.009445613,0.001515488,0.3677865,0.02800111,0.007133643,0.0006935528,0.00338665,0.002735922,0.0006269849,0.00595216,0.04792048,0.5248019],"study_design_scores_gemma":[0.00172641,0.001040994,0.9257839,0.007278473,0.007230793,0.0001691725,0.00260391,0.000754114,0.0005425919,0.0009879944,0.05180226,0.00007943972],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5312319,0.2890672,0.0007829832,0.06083612,0.0008838011,0.001035739,0.01283403,0.00008682701,0.1032415],"genre_scores_gemma":[0.8475479,0.1393121,0.000986162,0.005214158,0.0002841534,0.0001219176,0.001950816,0.00002373598,0.004559025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02004578,"threshold_uncertainty_score":0.145443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06817933626318545,"score_gpt":0.3136534977794597,"score_spread":0.2454741615162742,"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."}}