{"id":"W2155408174","doi":"10.1007/bf03404328","title":"Gender, Income and Immigration Differences in Depression in Canadian Urban Centres","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; Toronto Public Health; Public Health Ontario; University of Toronto","funders":"Ontario Ministry of Health and Long-Term Care","keywords":"Immigration; Depression (economics); Demography; Metropolitan area; Population; Logistic regression; Public health; Medicine; Geography; Gerontology; Demographic economics; Sociology; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0007657216,0.0003081523,0.0005604428,0.002027141,0.005219083,0.002439767,0.001471982,0.0007036338,0.004265074],"category_scores_gemma":[0.003145157,0.0003704281,0.0007501406,0.00411446,0.001703733,0.0006026401,0.001532882,0.001123602,0.0002946317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01368966,"about_ca_system_score_gemma":0.01396422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9539373,"about_ca_topic_score_gemma":0.9807113,"domain_scores_codex":[0.9986919,0.0001200239,0.00006982131,0.00009712237,0.0002327595,0.0007885055],"domain_scores_gemma":[0.997133,0.0002281955,0.0005550237,0.00006651718,0.0006455609,0.001371708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001723066,0.00008369897,0.9917373,0.00001553484,0.00004520162,0.0001880176,0.004262834,0.00004379367,0.00009680025,0.0001237871,0.0005957566,0.002634953],"study_design_scores_gemma":[0.000004821713,0.00001705689,0.9918953,0.0000160345,0.0000106605,0.0000468158,0.007695133,0.00002585271,0.000009305261,0.00002611832,0.0002450414,0.000007832805],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978279,0.0003212879,0.00001198668,0.0002267977,0.00001589049,0.000009108518,0.0002242012,0.000001433894,0.001361297],"genre_scores_gemma":[0.9992296,0.0001554382,0.0000156384,0.00005974557,0.000005143639,0.000005328686,0.0001415453,0.000002155233,0.0003854381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04606271,"threshold_uncertainty_score":0.0993259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05360439813839914,"score_gpt":0.3259983536013769,"score_spread":0.2723939554629778,"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."}}