{"id":"W2319171641","doi":"10.1097/ede.0b013e3181fd2961","title":"Neighborhood Effects on Health","year":2010,"lang":"en","type":"article","venue":"Epidemiology","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Educational attainment; Metropolitan area; Odds; Demography; Odds ratio; Cohort; Population; Cohort study; Gerontology; Psychology; Geography; Medicine; Logistic regression; Sociology; Political science","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":[0.001077518,0.0003218033,0.0004862973,0.0006934151,0.0006466234,0.001211364,0.0004530971,0.0005365469,0.007886699],"category_scores_gemma":[0.005028302,0.000191364,0.000851536,0.0006528271,0.0005952581,0.0004996784,0.001285064,0.0005378128,0.0004456944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008655034,"about_ca_system_score_gemma":0.000726119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01458358,"about_ca_topic_score_gemma":0.01148575,"domain_scores_codex":[0.9990115,0.0005530443,0.0000393763,0.0001663201,0.0001110489,0.0001186709],"domain_scores_gemma":[0.9970524,0.001521927,0.0005054448,0.0002764331,0.0002863488,0.0003573332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004513859,0.0002712486,0.9080831,0.0006525526,0.001414989,0.0003478985,0.001062503,0.004837378,0.0004893928,0.0122717,0.003307528,0.06681041],"study_design_scores_gemma":[0.00002403287,0.0003149727,0.9781151,0.0003649444,0.0006162029,0.0002409764,0.0005603303,0.001743836,0.0001615944,0.008184917,0.009651748,0.00002124938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9219235,0.02379262,0.00511813,0.004054531,0.0003163572,0.0001075441,0.003970728,0.0000953147,0.04062118],"genre_scores_gemma":[0.9950925,0.00256357,0.0007482067,0.0001666752,0.00006120047,0.00002552605,0.000518296,0.00001025871,0.00081366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01458358,"threshold_uncertainty_score":0.02899742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05533212347075114,"score_gpt":0.4376055246187073,"score_spread":0.3822734011479562,"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."}}