{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004852741,0.00005555528,0.0002116307,0.00002674082,0.0001780118,0.00001327138,0.0002679544,0.00002887422,0.0001208103],"category_scores_gemma":[0.0002395717,0.00002435552,0.00004772138,0.0001421896,0.0006293442,0.00005143588,0.000009619301,0.0002253527,8.005824e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001061037,"about_ca_system_score_gemma":0.0001160755,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09899074,"about_ca_topic_score_gemma":0.06011796,"domain_scores_codex":[0.9985898,0.0003763557,0.0004688156,0.00004758753,0.000279507,0.0002379079],"domain_scores_gemma":[0.9983356,0.001223067,0.0002409499,0.00009291514,0.00003638868,0.00007108528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001258171,0.00009467347,0.8382416,0.00003909058,0.00001691588,0.00001249426,0.1088647,0.0003817948,0.000001838791,0.02347233,0.01802211,0.01072662],"study_design_scores_gemma":[0.0042918,0.0001180672,0.7342801,0.00005387394,0.00001304453,0.000009846792,0.04402785,0.00001991275,0.000003559926,0.0237237,0.1934231,0.00003518281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7704744,0.0004179678,0.0000130564,0.2281151,0.0003087096,0.00007330048,0.000002396054,0.000001627734,0.0005934463],"genre_scores_gemma":[0.9950899,0.0006255686,0.00000755029,0.002164433,0.002022649,4.883481e-7,0.000001919158,0.000002463397,0.00008495826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2259507,"threshold_uncertainty_score":0.9570324,"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."}}