{"id":"W2540368482","doi":"10.1016/j.jacc.2016.09.334","title":"TCT-192 Combined Use of Neutrophil to Lymphocyte Ratio and C-Reactive Protein to predict Clinical Outcomes in Acute Myocardial Infarction Patients undergoing Percutaneous Coronary Intervention","year":2016,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Medicine; Percutaneous coronary intervention; Neutrophil to lymphocyte ratio; Myocardial infarction; Cardiology; Internal medicine; C-reactive protein; Lymphocyte; Inflammation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006152681,0.0005762439,0.001014079,0.0006876244,0.0002990028,0.001035037,0.0004096458,0.0007365549,0.0008448138],"category_scores_gemma":[0.001916109,0.0002651365,0.000470931,0.0006259787,0.0002788611,0.0005375571,0.0003578905,0.001018957,0.0003508568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000291905,"about_ca_system_score_gemma":0.000370084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007458371,"about_ca_topic_score_gemma":0.001869598,"domain_scores_codex":[0.9995438,0.0001300266,0.00005238031,0.0000900972,0.0001152703,0.00006830435],"domain_scores_gemma":[0.999024,0.0002958838,0.000259759,0.00006473576,0.0001361184,0.0002195252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003931848,0.0002015949,0.9874222,0.00003016238,0.0002908689,0.000179811,0.00004398866,0.0001350957,0.001850117,0.00003244876,0.0002648723,0.005616943],"study_design_scores_gemma":[0.0002834873,0.001644043,0.9912434,0.00002497375,0.0007107558,0.0008421377,0.0001954572,0.00312348,0.001181961,0.000157233,0.0005601349,0.00003299303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972948,0.001293705,0.0002013567,0.0001464493,0.00008333504,0.00001825151,0.0001953826,0.00001379818,0.0007529249],"genre_scores_gemma":[0.9989191,0.0002014576,0.0002128117,0.00007344684,0.00009901108,0.00001930964,0.0002213339,0.000003069012,0.0002505961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001035037,"threshold_uncertainty_score":0.003253877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459420996781107,"score_gpt":0.2842594861644014,"score_spread":0.2696652761965903,"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."}}