{"id":"W2116381183","doi":"10.1111/milq.12001","title":"Summarizing Social Disparities in Health","year":2013,"lang":"en","type":"article","venue":"Milbank Quarterly","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Canadian Institutes of Health Research; Dalhousie University; Robert Wood Johnson Foundation","keywords":"Socioeconomic status; Health equity; Ethnic group; Race (biology); Race and health; Context (archaeology); Consistency (knowledge bases); Social determinants of health; Demographic economics; Geography; Demography; Political science; Sociology; Health care; Economic growth; Population; Economics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007541086,0.0001140554,0.0002664445,0.00009719127,0.0007851133,0.0001928032,0.000208946,0.0001060719,0.0006265453],"category_scores_gemma":[0.00004592869,0.0001169884,0.00006877656,0.0002297679,0.0001618589,0.0004095425,0.00001073802,0.0001964186,0.0002245014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002531193,"about_ca_system_score_gemma":0.0003241286,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3443771,"about_ca_topic_score_gemma":0.08384931,"domain_scores_codex":[0.9978173,0.0003357384,0.0004098249,0.0001988946,0.0003040025,0.0009342622],"domain_scores_gemma":[0.9993959,0.0001545656,0.00008462501,0.0001048731,0.00004307842,0.0002169624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001101805,0.000151487,0.2235947,0.000407526,0.00001363718,0.000007771641,0.1539804,8.781413e-7,0.000005382074,0.3084163,0.1052724,0.2081386],"study_design_scores_gemma":[0.0004682686,0.000106809,0.764307,0.00008779199,0.000001898208,4.146172e-7,0.05132163,0.00003976139,0.000001036414,0.01496693,0.1684082,0.0002903334],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6992614,0.001275383,0.0001805831,0.2532551,0.001337503,0.001143967,0.00001785684,0.0002686163,0.04325957],"genre_scores_gemma":[0.9883243,0.00007362934,0.0001779499,0.008053477,0.0004262026,0.00007909546,0.000005948653,0.00001314406,0.002846221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5407122,"threshold_uncertainty_score":0.9328681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02464127115928633,"score_gpt":0.326608970570026,"score_spread":0.3019676994107396,"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."}}