{"id":"W4362657351","doi":"10.1111/dar.13658","title":"Age, period and cohort effects on time trends in monthly cannabis use in adult population: 1996–2019","year":2023,"lang":"en","type":"article","venue":"Drug and Alcohol Review","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; University of Ottawa; Western University; Centre for Addiction and Mental Health","funders":"Institute of Neurosciences, Mental Health and Addiction; Canadian Institutes of Health Research","keywords":"Cannabis; Period (music); Demography; Cohort; Cohort effect; Population; Medicine; Psychiatry; Environmental health; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006001623,0.0001954669,0.0006364565,0.0003997339,0.00005048821,0.00004510543,0.00005586512,0.00006713942,0.00006540461],"category_scores_gemma":[0.0001942033,0.000153773,0.00008264413,0.0009820568,0.00004701011,0.00008964885,0.00005829654,0.0002759394,0.00004717552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006935903,"about_ca_system_score_gemma":0.00003320998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002258746,"about_ca_topic_score_gemma":0.0007261366,"domain_scores_codex":[0.9984419,0.0001378222,0.0003333619,0.0004167025,0.0003278977,0.0003422541],"domain_scores_gemma":[0.9994099,0.00002376288,0.00004579179,0.0002807379,0.00004461661,0.000195204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009882096,0.0001061572,0.3359985,0.004369569,0.00003564985,0.00106451,0.0002885696,0.000004042559,0.00009930546,0.00009862465,0.370254,0.2875822],"study_design_scores_gemma":[0.001206331,0.0001158822,0.9350144,0.004548423,0.00004798018,0.00002313513,0.00001306743,0.0001995165,0.00001591377,0.00001171382,0.05863981,0.0001637865],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9530728,0.02417574,1.583299e-8,0.02081404,0.0000484033,0.000898598,0.0000249093,0.0000420182,0.0009235019],"genre_scores_gemma":[0.8135211,0.07647111,0.00001804591,0.003913267,0.0001795523,0.000527955,0.000811118,0.00007239977,0.1044855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.599016,"threshold_uncertainty_score":0.627068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01865621892922377,"score_gpt":0.3206779343661622,"score_spread":0.3020217154369385,"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."}}