{"id":"W2118666392","doi":"10.1016/j.socscimed.2006.03.019","title":"Individual versus neighborhood socioeconomic status and race as predictors of adolescent ambulatory blood pressure and heart rate","year":2006,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":115,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; John D. and Catherine T. MacArthur Foundation","keywords":"Socioeconomic status; Demography; Blood pressure; Race (biology); Medicine; Gerontology; Poverty; Ambulatory; Household income; Social class; Health equity; Family income; Public health; Population; Psychology; Internal medicine; Geography; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002024422,0.0001321383,0.0003352738,0.00009682295,0.001139516,0.00005524358,0.0002065245,0.0001166016,0.0001227037],"category_scores_gemma":[0.0003840455,0.0001174112,0.00003246589,0.0002650672,0.004211263,0.0003089368,0.0000748141,0.0001741999,0.000002052261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006299108,"about_ca_system_score_gemma":0.0009141871,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01210884,"about_ca_topic_score_gemma":0.0008030242,"domain_scores_codex":[0.9978701,0.0001507617,0.0003219112,0.0003304629,0.0006298762,0.0006968948],"domain_scores_gemma":[0.9990473,0.0002305313,0.0001673185,0.00009402033,0.00009640004,0.0003643761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005706669,0.00007215889,0.9074557,0.0001098819,0.00004081407,0.000001718164,0.03721389,0.000001413064,0.0002287997,0.05032802,0.002797119,0.001693404],"study_design_scores_gemma":[0.00146263,0.000114421,0.9702079,0.00004270774,0.0001607106,4.207013e-7,0.0104928,0.000004276273,0.00004445633,0.001119531,0.01622672,0.0001233953],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819668,0.003429864,0.000001009026,0.007225035,0.0008410114,0.0002905996,0.00001982777,0.00003624185,0.006189634],"genre_scores_gemma":[0.9974116,0.0003681573,0.000006785015,0.001076768,0.0009445124,0.000005571766,0.000002876755,0.000007546251,0.0001761956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06275222,"threshold_uncertainty_score":0.9984987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678253496089814,"score_gpt":0.3176929397871576,"score_spread":0.3009104048262595,"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."}}