{"id":"W3040220973","doi":"10.1016/j.jcin.2020.04.020","title":"Prognostic Impact of Race in Patients Undergoing PCI","year":2020,"lang":"en","type":"article","venue":"JACC: Cardiovascular Interventions","topic":"Acute Myocardial Infarction Research","field":"Medicine","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Data Science Institute, Columbia University; Idorsia Pharmaceuticals; Terumo; Biotronik; Boston Scientific Corporation; Janssen Scientific Affairs; Chiesi Farmaceutici; Bristol-Myers Squibb; AstraZeneca; CSL Behring; National Heart, Lung, and Blood Institute; Novartis Pharmaceuticals Corporation; OrbusNeich; Bayer; Canada Excellence Research Chairs, Government of Canada; National Institutes of Health; Medtronic; TherOx; Abbott Vascular; St. Jude Medical; Abbott Laboratories","keywords":"Conventional PCI; Race (biology); Internal medicine; Medicine; Cardiology; Myocardial infarction; Sociology; Gender studies","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":[],"consensus_categories":[],"category_scores_codex":[0.0004405346,0.0001548024,0.0006381736,0.0002536997,0.00004042463,0.00002113749,0.0001416623,0.00009096289,0.0003145609],"category_scores_gemma":[0.00150171,0.0001404817,0.004063432,0.0007345127,0.00006631308,0.0001340259,0.000150339,0.000340624,0.0001310989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002238618,"about_ca_system_score_gemma":0.0001644035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001919585,"about_ca_topic_score_gemma":0.000006232991,"domain_scores_codex":[0.9980286,0.0002301945,0.000523122,0.000314847,0.0006186233,0.0002845855],"domain_scores_gemma":[0.9988216,0.00008926188,0.00008321601,0.0004634501,0.0003236277,0.0002189003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003249337,0.0007554187,0.962167,0.0009981534,0.009762836,0.00008071486,0.0003731846,0.003115594,0.0001554203,0.00006645152,0.01077031,0.01142999],"study_design_scores_gemma":[0.005253882,0.001515876,0.9882386,0.0006439497,0.0007594111,0.0000228916,0.0001397191,0.0004899736,0.0001641032,0.00002400793,0.002575489,0.0001720731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858227,0.002295558,0.005580593,0.001585457,0.0001497825,0.001593709,0.00005302945,0.00008765962,0.002831525],"genre_scores_gemma":[0.9990496,0.00009308176,0.0003744118,0.0001497922,0.00009264766,0.00005503783,0.00007295156,0.0000324529,0.00007999151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02607163,"threshold_uncertainty_score":0.5728678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05313299657184842,"score_gpt":0.3471785516896741,"score_spread":0.2940455551178257,"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."}}