{"id":"W4410034748","doi":"10.1111/dar.14072","title":"Changes in the Sex/Gender Gap in Cannabis Use in Ontario, Canada From 2001 to 2019","year":2025,"lang":"en","type":"article","venue":"Drug and Alcohol Review","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; University of Ottawa; Centre for Addiction and Mental Health","funders":"Institute of Neurosciences, Mental Health and Addiction; Canadian Institutes of Health Research","keywords":"Cannabis; Demography; Confidence interval; Effects of cannabis; Cannabis Dependence; Mental health; Medicine; Population; Addiction; Gender gap; Psychology; Psychiatry","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":[0.0007849476,0.0001515435,0.0004710475,0.0001634956,0.00002864611,0.00002975823,0.0001494349,0.00004120482,0.0003771194],"category_scores_gemma":[0.0001305873,0.0001028194,0.00003659195,0.000629772,0.00002409551,0.00003721661,0.00007363083,0.0004198691,0.000004110875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004415586,"about_ca_system_score_gemma":0.001374021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931455,"about_ca_topic_score_gemma":0.9995852,"domain_scores_codex":[0.99855,0.0001581714,0.0002914823,0.0003186484,0.0002949135,0.0003867763],"domain_scores_gemma":[0.9994275,0.00003190231,0.00002685497,0.0003483797,0.00004179159,0.0001235665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002086869,0.00005265484,0.1508879,0.0005103945,0.00001082198,0.0001347477,0.0006421074,0.000001404568,0.00003091556,0.00003483836,0.8368497,0.01082366],"study_design_scores_gemma":[0.0004537142,0.00001210691,0.3820235,0.002027567,0.00001752179,0.000004040122,0.000252221,0.000004618262,0.0000175183,0.00002237301,0.6150851,0.00007979664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7533776,0.07979737,3.331136e-7,0.1623223,0.0001074915,0.001629961,0.00004021247,0.000005228905,0.002719511],"genre_scores_gemma":[0.4670729,0.1196975,0.00005922023,0.154326,0.0001562411,0.001280423,0.0002284679,0.0000492597,0.2571301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2863047,"threshold_uncertainty_score":0.4192855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05535481943841347,"score_gpt":0.3281597749807154,"score_spread":0.2728049555423019,"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."}}