{"id":"W4404801176","doi":"10.1017/s2045796024000738","title":"An equity indicator for assessing mental healthcare access: a national population case study","year":2024,"lang":"en","type":"article","venue":"Epidemiology and Psychiatric Sciences","topic":"Mental Health Treatment and Access","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto; University of Calgary","funders":"","keywords":"Mental health; Equity (law); Socioeconomic status; Disadvantaged; Population; Health equity; Medicine; Health care; Census; Environmental health; Public health; Economic growth; Psychiatry; Nursing; Political science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01087986,0.0004741853,0.0004988594,0.003274204,0.001734238,0.00129757,0.001359868,0.001105545,0.002930813],"category_scores_gemma":[0.02112035,0.0002967743,0.001371559,0.003741064,0.001290933,0.001820286,0.003818178,0.00181137,0.0002942241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004183094,"about_ca_system_score_gemma":0.002140071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07872346,"about_ca_topic_score_gemma":0.07181206,"domain_scores_codex":[0.9929388,0.005057493,0.0003052967,0.000511356,0.0007539365,0.0004332475],"domain_scores_gemma":[0.9936681,0.002925667,0.001041873,0.0007442119,0.001335014,0.0002850396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002432743,0.0006437749,0.933005,0.0002169587,0.0003744493,0.002425813,0.004457734,0.003254127,0.0001818916,0.01161209,0.01007802,0.03350691],"study_design_scores_gemma":[0.0002019116,0.001023648,0.8179939,0.001032445,0.0007483863,0.01064958,0.03056075,0.08770967,0.001104408,0.01975159,0.02898684,0.0002370128],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9606294,0.001049779,0.01411955,0.003604661,0.00008792291,0.001160995,0.007592686,0.0000339998,0.01172093],"genre_scores_gemma":[0.9768555,0.0005089807,0.01760696,0.0003228858,0.0000487959,0.0009774084,0.002654936,0.00001631381,0.001008269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07872346,"threshold_uncertainty_score":0.1565305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3212136542218814,"score_gpt":0.6122874211026024,"score_spread":0.291073766880721,"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."}}