{"id":"W4364353982","doi":"10.1177/02698811231161583","title":"Co-use of cannabis and alcohol before and after Canada legalized nonmedical cannabis: A repeat cross-sectional study","year":2023,"lang":"en","type":"article","venue":"Journal of Psychopharmacology","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Cannabis; Legalization; Odds; Population; Multinomial logistic regression; Cross-sectional study; Demography; Environmental health; Medicine; Poison control; Logistic regression; Psychiatry; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009858353,0.0001975669,0.0006141229,0.0004478456,0.0001005259,0.00004159222,0.0001213413,0.0001450569,0.0005815637],"category_scores_gemma":[0.0002474927,0.0001553763,0.0001220703,0.0003951519,0.0004052622,0.000139633,0.00006409792,0.0006857305,0.000001644255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002085668,"about_ca_system_score_gemma":0.001530635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04670504,"about_ca_topic_score_gemma":0.06535038,"domain_scores_codex":[0.9972886,0.0001722655,0.00089203,0.0003065158,0.0009141637,0.0004263555],"domain_scores_gemma":[0.998274,0.00003338976,0.0003021575,0.0001730386,0.0005919,0.0006255414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004241305,0.00023368,0.632849,0.0001015194,0.0003463042,0.001890336,0.000435264,0.000005232427,0.00422145,0.000001774678,0.3549163,0.0007577423],"study_design_scores_gemma":[0.009253154,0.001742256,0.9138012,0.00002760486,0.0001396208,0.001595831,0.0003072755,0.00006260911,0.0002005212,0.00001208488,0.07275317,0.0001046592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854726,0.000395332,0.000001663287,0.01251694,0.0009617194,0.0005216955,0.00007211637,0.00001090641,0.00004707831],"genre_scores_gemma":[0.9906875,0.0001994057,0.00002548988,0.001084046,0.00051347,0.00006071218,0.000005582016,0.00002959832,0.007394191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2821631,"threshold_uncertainty_score":0.959643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0262839996116784,"score_gpt":0.3905883805619711,"score_spread":0.3643043809502928,"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."}}