{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001848887,0.000636432,0.000858905,0.0002252963,0.0002849204,0.0001175429,0.0004817665,0.0001669548,0.0004962494],"category_scores_gemma":[0.0007277126,0.0005724038,0.0001941928,0.001165175,0.0001207901,0.0005245036,0.00005555526,0.0003551719,0.00007824357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00147516,"about_ca_system_score_gemma":0.001125763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3564779,"about_ca_topic_score_gemma":0.8474498,"domain_scores_codex":[0.9959904,0.00009409645,0.0006354634,0.0009452027,0.001141138,0.001193692],"domain_scores_gemma":[0.9962434,0.0009018329,0.0001870068,0.00149395,0.0003172303,0.0008566132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005696656,0.0001165617,0.9421546,0.00001645,0.0002493518,0.00106174,0.02422811,0.0001330759,0.007384513,0.00004312471,0.02356151,0.0004812855],"study_design_scores_gemma":[0.006456722,0.0002461204,0.8966626,0.00228794,0.0006494555,0.0001013248,0.008937852,0.0001381585,0.04219502,0.00007227559,0.04077213,0.001480384],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824439,0.001667497,0.00002378436,0.01393869,0.0003059445,0.00103024,0.00004660973,0.0002850494,0.0002583121],"genre_scores_gemma":[0.9850929,0.0008949381,0.001195391,0.004832969,0.0004270372,0.0001029535,0.00007690759,0.0001172613,0.007259597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.490972,"threshold_uncertainty_score":0.9996728,"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."}}