{"id":"W3026740329","doi":"10.1093/schbul/sbaa031.197","title":"S131. NEIGHBOURHOOD-LEVEL SOCIAL CAPITAL, MARGINALIZATION, AND THE INCIDENCE OF PSYCHOTIC DISORDERS IN TORONTO, CANADA: A RETROSPECTIVE POPULATION-BASED COHORT STUDY","year":2020,"lang":"en","type":"article","venue":"Schizophrenia Bulletin","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Centre for Addiction and Mental Health; University of Toronto","funders":"","keywords":"Social capital; Neighbourhood (mathematics); Demography; Retrospective cohort study; Cohort; Population; Cohort study; Poisson regression; Medicine; Incidence (geometry); Rate ratio; Psychology; Psychiatry; Sociology; Social science; 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":[0.0004587736,0.000417273,0.0004257498,0.001411923,0.002134229,0.001080995,0.0008170066,0.0003210354,0.0017527],"category_scores_gemma":[0.001372957,0.0004363695,0.0007249049,0.003347556,0.0005963177,0.000297504,0.0008939186,0.0003674974,0.000273918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01407896,"about_ca_system_score_gemma":0.01532877,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.984903,"about_ca_topic_score_gemma":0.9858162,"domain_scores_codex":[0.9993392,0.0000552019,0.00006221343,0.0001416566,0.0002098989,0.0001918596],"domain_scores_gemma":[0.9986402,0.00004966745,0.0003764927,0.000099176,0.0005129142,0.0003215335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003832824,0.000009049696,0.9980415,0.00002827384,0.0000508984,0.00008271805,0.0002814459,0.00005154039,0.0001087824,0.00002655477,0.0005171268,0.0007637452],"study_design_scores_gemma":[0.000003547975,0.00001453078,0.9990438,0.00001621098,0.00002322831,0.00005693942,0.0003173579,0.0001160178,0.00002258761,0.00000832925,0.0003723111,0.000005222273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867653,0.0007458747,0.0001582849,0.0001217774,0.00001342874,0.0001156553,0.01062889,0.00001592344,0.0014349],"genre_scores_gemma":[0.9955843,0.0003616392,0.000173551,0.00005307817,0.000007163688,0.00004979618,0.003063574,0.00000378515,0.0007032366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01509702,"threshold_uncertainty_score":0.1021504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109462348358356,"score_gpt":0.2739492781320927,"score_spread":0.2628546546485092,"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."}}