{"id":"W4225091048","doi":"10.1007/s00127-022-02281-3","title":"Social determinants of ethno-racial inequalities in substance use: a decomposition of national survey data","year":2022,"lang":"en","type":"article","venue":"Social Psychiatry and Psychiatric Epidemiology","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Public Health Ontario","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Polysubstance dependence; Ethnic group; Psychosocial; Demography; Population; Marital status; Racism; Public health; Substance abuse; Immigration; Poison control; Medicine; Environmental health; Geography; Sociology; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005221795,0.0003935893,0.0006716807,0.002018028,0.000771413,0.001445381,0.0006092631,0.0004135786,0.00225571],"category_scores_gemma":[0.007883797,0.0004569516,0.00233607,0.004151314,0.0007083936,0.0007377853,0.002405598,0.0007347402,0.0002531091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007758367,"about_ca_system_score_gemma":0.001363714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09800997,"about_ca_topic_score_gemma":0.09003521,"domain_scores_codex":[0.9947457,0.00326277,0.0003102368,0.0004554787,0.0004358615,0.0007899232],"domain_scores_gemma":[0.9945281,0.002087262,0.001079738,0.0009559663,0.0007697179,0.0005792575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001214562,0.00005502351,0.9949961,0.00001777676,0.0005874569,0.0000240545,0.0004356279,0.0003964888,0.0003805376,0.0002940819,0.0002611962,0.002430239],"study_design_scores_gemma":[0.000003836175,0.0000365435,0.9969667,0.00000989851,0.0001245368,0.00002522749,0.000967149,0.001334927,0.00006861414,0.00008433722,0.0003718957,0.000006374998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970015,0.0001915158,0.0007477595,0.000115691,0.000008674609,0.00002076395,0.001440852,0.000009305937,0.0004639019],"genre_scores_gemma":[0.9972156,0.00009545717,0.0005099045,0.00002740254,0.000007829282,0.00002297341,0.00186075,0.000008043978,0.0002519996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09800997,"threshold_uncertainty_score":0.194879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2489572260004418,"score_gpt":0.4778343031052261,"score_spread":0.2288770771047843,"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."}}