{"id":"W4417474647","doi":"10.64628/aam.4xfnrkpx3","title":"After Canada legalized cannabis, police caught more drunk drivers","year":2025,"lang":"","type":"article","venue":"","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Government (linguistics); Legislation; Drunk driving; Criminal justice; Poison control; Homicide","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":[0.0009769617,0.0003214016,0.0004733514,0.001946505,0.008367885,0.004725233,0.0007803842,0.001799693,0.0110338],"category_scores_gemma":[0.005689412,0.0004420764,0.0006617593,0.002421545,0.001370825,0.001354136,0.001335478,0.004104045,0.001176754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01667039,"about_ca_system_score_gemma":0.02915819,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9365301,"about_ca_topic_score_gemma":0.9745293,"domain_scores_codex":[0.9981903,0.0001240275,0.00005858976,0.0002512242,0.0007858573,0.0005899663],"domain_scores_gemma":[0.9946539,0.0005018631,0.0008111654,0.0001595935,0.003045121,0.0008282606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009703304,0.0004406075,0.8084434,0.0005512413,0.0003917161,0.00160836,0.01633319,0.0002190548,0.00211417,0.004694039,0.07217958,0.0920544],"study_design_scores_gemma":[0.00005343958,0.0002421448,0.785344,0.0004929036,0.0002772719,0.0008634298,0.05037478,0.0003238239,0.002070619,0.000915512,0.1588491,0.0001929408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8959724,0.006672116,0.0005862832,0.04306847,0.002760825,0.0001658131,0.00602487,0.0000773986,0.04467192],"genre_scores_gemma":[0.9006304,0.006126376,0.0005669366,0.01543144,0.0005833018,0.00003345339,0.00230982,0.00007413732,0.07424414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06346989,"threshold_uncertainty_score":0.1276873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004783468931147925,"score_gpt":0.2777099083448413,"score_spread":0.2729264394136933,"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."}}