{"id":"W4385231137","doi":"10.1111/add.16273","title":"Using a cascade of care framework to identify gaps in access to medications for alcohol use disorder in British Columbia, Canada","year":2023,"lang":"en","type":"article","venue":"Addiction","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; British Columbia Centre on Substance Use; University of British Columbia","funders":"","keywords":"Medicine; Alcohol use disorder; Odds; Odds ratio; Population; Demography; Emergency department; Environmental health; Emergency medicine; Logistic regression; Psychiatry; Alcohol; Internal medicine","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":[0.004814519,0.000872965,0.0007476014,0.005994542,0.003043501,0.003094473,0.00236751,0.0008594278,0.003809051],"category_scores_gemma":[0.01399154,0.0005075906,0.001803324,0.005825085,0.001041817,0.001063446,0.003747028,0.001523544,0.0002407115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06211643,"about_ca_system_score_gemma":0.1011033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9851514,"about_ca_topic_score_gemma":0.9862843,"domain_scores_codex":[0.996457,0.00133132,0.0002965255,0.0005521894,0.000547612,0.0008152743],"domain_scores_gemma":[0.9925174,0.001561354,0.000671851,0.000224849,0.003751376,0.001273247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001469984,0.0001686121,0.9203163,0.0006182073,0.0004966966,0.0005939821,0.004222418,0.01079581,0.0001124509,0.00849196,0.01591657,0.03812001],"study_design_scores_gemma":[0.0002027732,0.0001956753,0.7589057,0.003172791,0.001079862,0.0006079336,0.02113783,0.1668179,0.0003017631,0.01825359,0.02915059,0.0001735612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8274008,0.01223908,0.03524758,0.03323874,0.0002866168,0.003625056,0.0548995,0.0007345469,0.03232802],"genre_scores_gemma":[0.9567926,0.001705403,0.02985006,0.0008560162,0.00002720842,0.0007825387,0.008589925,0.00003214382,0.001364075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06211643,"threshold_uncertainty_score":0.4506884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04613433827381418,"score_gpt":0.3662220883237503,"score_spread":0.3200877500499361,"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."}}