{"id":"W4313641795","doi":"10.1111/add.16128","title":"Increase in cannabis‐related emergency department presentations in the period immediately before legalization requires explanation","year":2023,"lang":"en","type":"letter","venue":"Addiction","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legalization; Cannabis; Government (linguistics); Legislation; Medicine; Emergency department; Legislature; Political science; Psychiatry; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001237913,0.0001892821,0.0003136096,0.001093201,0.001025699,0.001130025,0.000785025,0.0007661588,0.00909584],"category_scores_gemma":[0.009791279,0.0001545495,0.0004325348,0.00211129,0.0006727285,0.001215622,0.0008971611,0.00186984,0.0005556838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00493516,"about_ca_system_score_gemma":0.007393248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3026603,"about_ca_topic_score_gemma":0.4399359,"domain_scores_codex":[0.9982237,0.0001639152,0.0001870131,0.000254082,0.0006957936,0.0004754026],"domain_scores_gemma":[0.9944517,0.001416142,0.001680841,0.0002644539,0.001654626,0.0005321674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004748734,0.0001355297,0.8301262,0.001280686,0.0001459999,0.002013758,0.0038408,0.0003114539,0.001377207,0.003091571,0.05403709,0.1031648],"study_design_scores_gemma":[0.000007963144,0.00004785862,0.9724987,0.0005354984,0.00002663124,0.0009331445,0.001882132,0.0001670327,0.0003342205,0.0005306191,0.02301314,0.00002323961],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.705516,0.04896434,0.00309786,0.1629486,0.002443397,0.0003492562,0.02521799,0.0002339314,0.05122872],"genre_scores_gemma":[0.9768904,0.008455308,0.001091498,0.005637389,0.00114452,0.00007496945,0.003121064,0.00004654719,0.003538307],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.3026603,"threshold_uncertainty_score":0.6017973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02107457849910175,"score_gpt":0.3107638103816758,"score_spread":0.289689231882574,"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."}}