{"id":"W2112746818","doi":"10.1136/jech-2013-203120","title":"Exploring the social determinants of mental health service use using intersectionality theory and CART analysis","year":2013,"lang":"en","type":"article","venue":"Journal of Epidemiology & Community Health","topic":"Mental Health Treatment and Access","field":"Psychology","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University; Centre for Addiction and Mental Health; Women's College Hospital; University of Toronto; McMaster University","funders":"","keywords":"Medicine; Cart; Marital status; Mental health; Logistic regression; Population; Mood; Anxiety; Intersectionality; Psychiatry; Clinical psychology; Gerontology; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01584502,0.000173485,0.00113743,0.0002660221,0.001501794,0.00001190328,0.0003522172,0.00007749668,0.0001518471],"category_scores_gemma":[0.0003593102,0.0001182599,0.0002159604,0.0004102951,0.0002560737,0.0004168398,0.0001590014,0.0009476111,0.000003050572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004082211,"about_ca_system_score_gemma":0.0001505584,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1125458,"about_ca_topic_score_gemma":0.01183177,"domain_scores_codex":[0.9809394,0.01664398,0.001663466,0.0001496107,0.0001268464,0.0004766754],"domain_scores_gemma":[0.9916146,0.005291745,0.002267071,0.00040693,0.0001754355,0.0002442386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003939152,0.0004878585,0.9368295,0.0002031617,0.0008912231,0.000001084003,0.02656084,0.00001753678,0.00001007418,0.001658957,0.0007906897,0.03215514],"study_design_scores_gemma":[0.0005628988,0.0004568998,0.9770632,0.0001098088,0.00009642691,0.00007704537,0.01952655,0.0001081389,0.000003226822,0.001792992,0.0001375743,0.00006518525],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897844,0.0009938409,0.0003185433,0.007912954,0.0005695742,0.000338794,0.00003206378,0.000007063974,0.00004273263],"genre_scores_gemma":[0.9921677,0.0004442626,0.000623977,0.006607452,0.000106685,0.00001237524,0.00001248605,0.00001113376,0.0000139067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.100714,"threshold_uncertainty_score":0.9997981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4827710045723907,"score_gpt":0.527191568439655,"score_spread":0.04442056386726428,"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."}}