{"id":"W3102827840","doi":"10.1016/j.ekir.2020.11.006","title":"APOL1 Risk Variants and Subclinical Cardiovascular Disease in Incident Hemodialysis Patients","year":2020,"lang":"en","type":"article","venue":"Kidney International Reports","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; SickKids Foundation; University of Toronto; University Health Network","funders":"National Center for Research Resources; National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; U.S. Department of Health and Human Services; National Institutes of Health; National Kidney Foundation Serving Maryland and Delaware; Doris Duke Charitable Foundation; Johns Hopkins University","keywords":"Medicine; Internal medicine; Subclinical infection; Cardiology; Hemodialysis; Blood pressure; End stage renal disease; Left ventricular hypertrophy; Proportional hazards model; Pulse wave velocity; Coronary artery disease; Comorbidity; Cohort; Body mass index","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":[0.0004789127,0.0002198435,0.000221948,0.0002298755,0.0002812278,0.0005563428,0.0002317246,0.0003554974,0.00228287],"category_scores_gemma":[0.001525918,0.0001722605,0.000282733,0.0004030817,0.0001506803,0.000239426,0.0002163825,0.0005485085,0.0001367639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001682669,"about_ca_system_score_gemma":0.000228668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001821975,"about_ca_topic_score_gemma":0.002348434,"domain_scores_codex":[0.9998176,0.00004484408,0.0000206053,0.00005427464,0.00003307046,0.0000297346],"domain_scores_gemma":[0.9992293,0.0001628771,0.0003719444,0.0000579765,0.00004509345,0.0001326918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004220062,0.00006117449,0.9974,0.000007929332,0.00006502881,0.00005883722,0.00003847145,0.00005130939,0.0005417024,0.00002764818,0.0001074054,0.001218431],"study_design_scores_gemma":[0.00003225312,0.0001018791,0.9989157,0.000005675797,0.00006105037,0.0002346526,0.00003723963,0.0002854473,0.0001623278,0.00005594912,0.0001043613,0.000003506337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994739,0.0001235207,0.00005928585,0.00003734304,0.000003520124,0.000001846749,0.0001516647,0.000002477834,0.0001464569],"genre_scores_gemma":[0.9996282,0.00002370842,0.00008371374,0.00001530715,0.000008779582,0.000002767043,0.0001202405,0.000001061086,0.0001160648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00228287,"threshold_uncertainty_score":0.007636905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408951434549992,"score_gpt":0.2567427772676224,"score_spread":0.2426532629221225,"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."}}