{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006721914,0.0002999939,0.0005745296,0.0005423374,0.0005603638,0.001076245,0.0004323299,0.0008984383,0.004099162],"category_scores_gemma":[0.004663423,0.0002435136,0.0008172936,0.0008934265,0.000385295,0.0009318325,0.0006138348,0.001591364,0.0004569041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003176299,"about_ca_system_score_gemma":0.0005315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003253003,"about_ca_topic_score_gemma":0.005135799,"domain_scores_codex":[0.9993088,0.0002107196,0.00006174367,0.0001166286,0.00008967266,0.0002123999],"domain_scores_gemma":[0.9977744,0.0004689065,0.0008157895,0.0001817408,0.0001687169,0.0005903704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001200097,0.00008833942,0.9947077,0.00001730258,0.0001831335,0.0001288512,0.00008594629,0.00007926507,0.0003118067,0.0001073416,0.0003259779,0.00276414],"study_design_scores_gemma":[0.00003016579,0.0001872646,0.9979309,0.00001932121,0.0001336493,0.0002590452,0.0002768862,0.0004831279,0.00005742725,0.0002702643,0.0003391326,0.00001277422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946367,0.001164063,0.0001999198,0.0006475085,0.0001144355,0.0000097451,0.0005458062,0.000008031735,0.002673913],"genre_scores_gemma":[0.9986625,0.0002876659,0.00009905307,0.0001227229,0.0001687463,0.000006594711,0.0003099398,0.000005653972,0.0003372762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004099162,"threshold_uncertainty_score":0.01371306,"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."}}