{"id":"W3140961269","doi":"10.1177/07067437211006872","title":"Estimating the Prevalence of Mental and Substance Use Disorders: A Systematic Approach to Triangulating Available Data to Inform Health Systems Planning","year":2021,"lang":"en","type":"article","venue":"The Canadian Journal of Psychiatry","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Centre on Substance Use; Providence Health Care; BC Centre for Disease Control; Simon Fraser University; University of British Columbia","funders":"Michael Smith Health Research BC","keywords":"Mental health; MEDLINE; Population; Comorbidity; Leverage (statistics); Gerontology; Medicine; Environmental health; Psychiatry; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2690505,0.002988927,0.00709707,0.0427858,0.002085452,0.005204376,0.004752078,0.002483964,0.002194274],"category_scores_gemma":[0.5147843,0.002387163,0.008110818,0.02797987,0.002552849,0.007031174,0.01151245,0.002412382,0.0003718834],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005276854,"about_ca_system_score_gemma":0.02940635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02234613,"about_ca_topic_score_gemma":0.03145737,"domain_scores_codex":[0.6188574,0.3050758,0.04609503,0.01034469,0.01851038,0.001116714],"domain_scores_gemma":[0.4980843,0.3804549,0.04539412,0.03908388,0.03545322,0.001529595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0006383046,0.0003398627,0.1353935,0.1199911,0.06139667,0.001044355,0.0186979,0.0283509,0.001567486,0.05382208,0.0103931,0.5683649],"study_design_scores_gemma":[0.001876119,0.002432376,0.07717804,0.2551226,0.06016455,0.001275693,0.02702653,0.07560539,0.004838285,0.4150935,0.07797989,0.001407008],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04229805,0.07533759,0.8278628,0.009733228,0.0007285688,0.02569054,0.01228367,0.0005666416,0.005498847],"genre_scores_gemma":[0.2133086,0.01732917,0.7410021,0.001582501,0.0001592414,0.02225087,0.004083072,0.00007690621,0.0002076545],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9947231,"threshold_uncertainty_score":0.9013909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08976441531097866,"score_gpt":0.3161954588843682,"score_spread":0.2264310435733895,"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."}}