{"id":"W3003686570","doi":"10.1111/add.14994","title":"The association between legalization of cannabis use and traffic deaths in Uruguay","year":2020,"lang":"en","type":"article","venue":"Addiction","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Cannabis; Legalization; Poison control; Injury prevention; Environmental health; Legislation; Case fatality rate; Occupational safety and health; Medicine; Demography; Suicide prevention; Geography; Population; Political science; Psychiatry; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0009686522,0.0002758269,0.0003688695,0.0007817135,0.0006330844,0.0007309567,0.0005885614,0.0003786462,0.001159316],"category_scores_gemma":[0.003659904,0.0002951039,0.0004650171,0.0005788755,0.0005805813,0.0003874656,0.001132505,0.0006441459,0.0001031806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001990148,"about_ca_system_score_gemma":0.0009666659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3173732,"about_ca_topic_score_gemma":0.2562154,"domain_scores_codex":[0.9990833,0.0003681123,0.0000843462,0.0001721148,0.0001020727,0.0001901079],"domain_scores_gemma":[0.9977267,0.0003218293,0.001123028,0.0001183533,0.0004810028,0.000229055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001306616,0.00004764484,0.9950459,0.00003548056,0.00006047004,0.0001181121,0.000816573,0.0001237808,0.0002919143,0.00005844837,0.0001883932,0.003082701],"study_design_scores_gemma":[0.000002103695,0.00004077118,0.9988719,0.00001733886,0.00001811954,0.00006860281,0.0004742989,0.0002442567,0.00004329293,0.00001342767,0.0002022705,0.000003704095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986063,0.0005473311,0.00007560444,0.000128028,0.000007190361,0.000007847375,0.0002458393,0.00000545126,0.0003765919],"genre_scores_gemma":[0.999297,0.0002016034,0.0000779481,0.00001516522,0.00000584812,0.00001077077,0.0002426207,0.000002568682,0.0001464365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3173732,"threshold_uncertainty_score":0.6310517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02145121661262482,"score_gpt":0.2742563290273951,"score_spread":0.2528051124147702,"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."}}