{"id":"W2610558861","doi":"10.25011/cim.v31i4.4806","title":"EFFECTS OF LOW NEIGHBOURHOOD SOCIOECONOMIC STATUS ON INFLAMMATION, OXIDATIVE STRESS, AND RISK OF MORTALITY IN PATIENTS WITH CORONARY ARTERY DISEASE","year":2008,"lang":"en","type":"article","venue":"Clinical and investigative medicine","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Neighbourhood (mathematics); Medicine; Coronary artery disease; Disease; Gerontology; Unemployment; Demography; Internal medicine; Environmental health; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006433339,0.0001927633,0.0002977997,0.0004530259,0.0004696256,0.0004357039,0.0001809843,0.0003252962,0.002060106],"category_scores_gemma":[0.00317414,0.0001162912,0.0002793896,0.0005626919,0.0002729063,0.0003136392,0.0005494312,0.0004850402,0.0001526524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000273132,"about_ca_system_score_gemma":0.0002633857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004978137,"about_ca_topic_score_gemma":0.01029629,"domain_scores_codex":[0.9996463,0.0001444345,0.0000317291,0.00004087262,0.00005961542,0.00007708748],"domain_scores_gemma":[0.9987869,0.000238117,0.0004094131,0.00007187571,0.000113309,0.0003803281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001879134,0.00005027075,0.9984167,0.000006271322,0.0000463754,0.00003197607,0.00003959718,0.00002974177,0.00005008412,0.00001428338,0.0000646367,0.001062228],"study_design_scores_gemma":[0.00000499882,0.0001100798,0.9995841,0.000003732179,0.00001850138,0.00004657127,0.00005828058,0.00007690008,0.00001258682,0.00003289586,0.00004961223,0.000001767487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989748,0.0002961753,0.00002986125,0.0001083649,0.000005988265,0.000003408443,0.0001460675,0.000001126126,0.0004342973],"genre_scores_gemma":[0.9997185,0.00007390734,0.00002523541,0.00001416923,0.000007211988,0.000002842866,0.00009766268,3.757781e-7,0.00006006493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004978137,"threshold_uncertainty_score":0.009898365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05744572040664345,"score_gpt":0.3036601677227614,"score_spread":0.246214447316118,"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."}}