{"id":"W4389766291","doi":"10.1016/j.drugalcdep.2023.111060","title":"Cannabis legalization and driving under the influence of cannabis and driving under the influence of alcohol among adult and adolescent drivers in Ontario, Canada (2001–2019)","year":2023,"lang":"en","type":"article","venue":"Drug and Alcohol Dependence","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Canada Research Chairs; Institute for Clinical Evaluative Sciences; Mental Health Research Canada; Ontario Tobacco Research Unit; University of Ottawa; University of Toronto; Centre for Addiction and Mental Health","funders":"Canadian Institutes of Health Research","keywords":"Cannabis; Legalization; Poison control; Effects of cannabis; Logistic regression; Medicine; Driving under the influence; Injury prevention; Young adult; Demography; Psychology; Environmental health; Psychiatry; Gerontology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000420043,0.0003178801,0.0004148465,0.001382675,0.002803052,0.001459442,0.001585343,0.001009368,0.002760656],"category_scores_gemma":[0.001410465,0.0005945049,0.001142649,0.003717819,0.0007312114,0.0007080613,0.001155229,0.001618929,0.0003420979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02001139,"about_ca_system_score_gemma":0.03247909,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950824,"about_ca_topic_score_gemma":0.9974753,"domain_scores_codex":[0.9992385,0.00003766631,0.00007608868,0.00009023587,0.0002207712,0.0003368036],"domain_scores_gemma":[0.9974619,0.00008181112,0.0006973104,0.00006085441,0.0009842237,0.0007139263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005871687,0.00004465125,0.9960796,0.00003851694,0.00005124171,0.0001102193,0.001062913,0.0000514556,0.00009712929,0.00006252106,0.001043031,0.00130005],"study_design_scores_gemma":[0.000003022967,0.0000120898,0.9974596,0.00003236813,0.00001672183,0.0000417888,0.001655867,0.0000635847,0.00001706457,0.000006640556,0.0006846112,0.000006565645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895148,0.0008638807,0.00005439557,0.0005899973,0.00003842244,0.00005312222,0.006080621,0.000008764719,0.002795827],"genre_scores_gemma":[0.9925646,0.000901582,0.00007569345,0.0002043207,0.00002234249,0.00002962432,0.002751185,0.000006667407,0.003443981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02001139,"threshold_uncertainty_score":0.1451935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186080757207566,"score_gpt":0.2590647003453709,"score_spread":0.2472038927732952,"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."}}