{"id":"W3135831905","doi":"10.1111/ctr.14283","title":"Early postoperative acute myocardial infarction in kidney transplant recipients: A nested case‐control study","year":2021,"lang":"en","type":"article","venue":"Clinical Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto General Hospital; University Health Network","funders":"","keywords":"Medicine; Myocardial infarction; Internal medicine; Incidence (geometry); Proportional hazards model; Coronary artery disease; Kidney transplantation; Transplantation; Epidemiology; Diabetes mellitus; Kidney disease; Surgery; Cardiology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001202925,0.0002986092,0.0008253824,0.0002002273,0.000140267,0.00005156073,0.00007573357,0.000282385,0.0001312925],"category_scores_gemma":[0.0001864683,0.0002675033,0.0004173538,0.0005590409,0.00008659884,0.0003054871,0.000004326325,0.0006595227,0.00003443915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006300678,"about_ca_system_score_gemma":0.0003011941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001679952,"about_ca_topic_score_gemma":0.0004030036,"domain_scores_codex":[0.9958881,0.001366333,0.001297158,0.000694333,0.0004014547,0.0003526206],"domain_scores_gemma":[0.9980289,0.0009216046,0.0001292862,0.0003153875,0.0002456357,0.0003591721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005187606,0.001194337,0.946746,0.00009567227,0.0009982371,0.02994142,0.006907242,0.0000304802,0.001816463,0.00009429688,0.00001229384,0.006975978],"study_design_scores_gemma":[0.02163302,0.001370921,0.9672693,0.0003471956,0.002778054,0.005168464,0.000547973,0.0001579418,0.0003530659,0.00004617784,0.0000516751,0.0002762291],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827286,0.0000605446,0.01222903,0.001489528,0.001098312,0.001342014,0.0005558184,0.0001000647,0.0003960791],"genre_scores_gemma":[0.9923885,0.0007626257,0.003581059,0.002338491,0.0002334415,0.00009548616,0.0004239261,0.00003670595,0.0001397221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02477296,"threshold_uncertainty_score":0.9999777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05100505054253699,"score_gpt":0.4011981785079394,"score_spread":0.3501931279654024,"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."}}