{"id":"W4220859508","doi":"10.1016/j.ssmph.2022.101050","title":"The association between neighborhood social and economic environment and prevalent diabetes in urban and rural communities: The Reasons for Geographic and Racial Differences in Stroke (REGARDS) study","year":2022,"lang":"en","type":"article","venue":"SSM - Population Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Drexel University; Centers for Disease Control and Prevention; School of Medicine, New York University; National Institutes of Health; York University; Johns Hopkins University","keywords":"Demography; Quartile; Poisson regression; Medicine; Diabetes mellitus; Poverty; Gerontology; Confidence interval; Geography; Environmental health; Population; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003157391,0.0000898684,0.0002334448,0.00006333557,0.003045003,0.0001132372,0.00008296621,0.00004620894,0.000005991697],"category_scores_gemma":[0.00005620968,0.00006931966,0.00001938795,0.00004992358,0.0001136099,0.0001082387,0.00009100779,0.0002084927,4.542587e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004075594,"about_ca_system_score_gemma":0.00007888957,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0412948,"about_ca_topic_score_gemma":0.1287261,"domain_scores_codex":[0.9977522,0.001253032,0.000322657,0.0001164709,0.0001998581,0.0003557616],"domain_scores_gemma":[0.9984491,0.001198133,0.0002080447,0.00006591873,0.000005730611,0.00007305968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009593046,0.00002131307,0.9363338,0.00002619355,0.00001129255,1.493535e-8,0.05779592,0.000002363616,1.072693e-8,0.002868162,0.00001928275,0.002911999],"study_design_scores_gemma":[0.0005152891,0.0001179711,0.879097,0.000008405867,0.00001093954,2.284427e-8,0.1180252,0.0002296586,5.389506e-9,0.001441318,0.0004935598,0.00006057214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868701,0.001303312,6.009263e-7,0.01029782,0.00008478871,0.001279176,0.0001423243,0.000008005994,0.0000138857],"genre_scores_gemma":[0.9979035,0.001435245,0.000003398629,0.0002726898,0.0001086504,0.0002114927,0.00002337034,0.000005754444,0.00003588142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08743126,"threshold_uncertainty_score":0.9982529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03323515878321934,"score_gpt":0.3189381791583128,"score_spread":0.2857030203750934,"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."}}