{"id":"W1558594140","doi":"10.1007/bf03405773","title":"Ecologic Proxies for Household Income","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Sinai Hospital; University of Toronto; McMaster University","funders":"","keywords":"Socioeconomic status; Census; Environmental health; Population health; Public health; Confounding; Ecological study; Population; Medicine; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0007159513,0.0003356343,0.0002716356,0.00273186,0.0005600202,0.0009140744,0.0004821954,0.0003792358,0.007118736],"category_scores_gemma":[0.005429317,0.0001573788,0.0004888067,0.004011529,0.0004924461,0.0005499775,0.0006523059,0.0005877255,0.0005885179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008787639,"about_ca_system_score_gemma":0.0009043507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03069355,"about_ca_topic_score_gemma":0.1077727,"domain_scores_codex":[0.9992375,0.0003294335,0.00006672958,0.0000917054,0.0001515187,0.0001230629],"domain_scores_gemma":[0.995945,0.001086827,0.001572251,0.0004129108,0.0005292761,0.0004537019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002172223,0.00007541716,0.9882665,0.00003166984,0.0002286234,0.00005128104,0.00009729892,0.0009429946,0.00007598634,0.002593187,0.001330343,0.00628494],"study_design_scores_gemma":[0.000005151014,0.00003357266,0.9916478,0.00003239205,0.00008641702,0.000114975,0.0004603046,0.001985377,0.00008999112,0.003194593,0.002338624,0.00001076113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9352413,0.00139813,0.01091233,0.002794103,0.00009983657,0.00008537692,0.028099,0.000113023,0.02125692],"genre_scores_gemma":[0.9908827,0.0002719692,0.002465347,0.0001042345,0.00004145981,0.00005562531,0.003987772,0.000006710182,0.002184079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03069355,"threshold_uncertainty_score":0.06102979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1397273479681561,"score_gpt":0.3612573739166713,"score_spread":0.2215300259485152,"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."}}