{"id":"W2016074424","doi":"10.1056/nejmsa044316","title":"Gradient of Disability across the Socioeconomic Spectrum in the United States","year":2006,"lang":"en","type":"article","venue":"New England Journal of Medicine","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":289,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institutes of Health","keywords":"Demography; Socioeconomic status; Poverty; Medicine; Odds; Odds ratio; Gerontology; Social class; Census; Population; Logistic regression; Sociology","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":[0.0003869119,0.00012141,0.0001695918,0.001136463,0.0005006326,0.0004391433,0.0001972057,0.0002277415,0.001382477],"category_scores_gemma":[0.001601004,0.00009012849,0.0001667998,0.001127435,0.0003017356,0.0003758961,0.0009393391,0.0003230002,0.0001097444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003853877,"about_ca_system_score_gemma":0.0004364309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02970456,"about_ca_topic_score_gemma":0.04567851,"domain_scores_codex":[0.9996576,0.0001018016,0.00003900583,0.00004978133,0.00006479281,0.00008695899],"domain_scores_gemma":[0.9991385,0.0001118153,0.0003186734,0.00002749033,0.0001757513,0.0002276333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003488003,0.0000288417,0.99646,0.00001371597,0.00002455711,0.00006677306,0.000219631,0.00005146358,0.00005714171,0.00007377091,0.0003963352,0.002572871],"study_design_scores_gemma":[0.000001494901,0.00001484586,0.9992182,0.000012314,0.000005796091,0.00005834004,0.0003665946,0.00005996397,0.000008283535,0.00006480579,0.0001874738,0.000001811392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99673,0.0005426296,0.00008704756,0.0003431052,0.000009699201,0.00001222743,0.0007684515,0.000004469389,0.001502356],"genre_scores_gemma":[0.9992601,0.0001722864,0.00004587747,0.00006795812,0.000006247769,0.000008008359,0.0003836419,7.824842e-7,0.00005501013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02970456,"threshold_uncertainty_score":0.05906332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02278069575210962,"score_gpt":0.3437090815122814,"score_spread":0.3209283857601718,"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."}}