{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004097517,0.000138775,0.0003484725,0.0001282441,0.00003057502,0.00004373395,0.00007304263,0.00004202265,0.000176409],"category_scores_gemma":[0.004485239,0.0001173967,0.0003852614,0.0001637629,0.00003977637,0.00009057403,0.0001680749,0.00013272,0.00002252939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007682029,"about_ca_system_score_gemma":0.0001205047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002438147,"about_ca_topic_score_gemma":0.000002810817,"domain_scores_codex":[0.9978074,0.00006986479,0.000576276,0.0005111012,0.0008897914,0.0001454999],"domain_scores_gemma":[0.9984477,0.0000304363,0.0001846113,0.000302543,0.000104416,0.0009303017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002202035,0.0003988436,0.9855149,0.00004017732,0.001301415,0.002414411,0.0001358292,0.0002807389,0.000007690398,0.00003100313,0.003635657,0.006019132],"study_design_scores_gemma":[0.001397618,0.00004071154,0.9546394,0.00006734267,0.000955585,0.000005797135,0.00001366841,0.003043974,0.00001025689,0.000245867,0.03945313,0.0001266251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901354,0.0002100042,0.0003103015,0.005164829,0.0004222365,0.0003674216,0.00005047302,0.0000310481,0.003308239],"genre_scores_gemma":[0.9960951,0.0003080615,0.0001603834,0.002671471,0.0002557472,0.00002792587,0.0003257122,0.00001504191,0.0001405742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03581747,"threshold_uncertainty_score":0.5369574,"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."}}