{"id":"W1772058552","doi":"10.1159/000381665","title":"Non-Linear Heart Rate Variability Indices in the Frequent Hemodialysis Network Trials of Chronic Hemodialysis Patients","year":2015,"lang":"en","type":"article","venue":"Blood Purification","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"University of California, San Francisco; University of California, San Diego; National Institute of Diabetes and Digestive and Kidney Diseases; University of California, Davis; Wake Forest University; Vanderbilt University Medical Center; University of Pittsburgh; Ohio State University; Vanderbilt University","keywords":"Hemodialysis; Medicine; Cardiology; Ejection fraction; Sample entropy; Approximate entropy; Internal medicine; Heart rate variability; Heart rate; Dialysis; Cardiac function curve; Extracellular fluid; Heart failure; Blood pressure; Mathematics; Statistics","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":[0.01832801,0.0001845399,0.000944726,0.0001372846,0.0000667917,0.00002682245,0.0001969325,0.0001823918,0.00006746352],"category_scores_gemma":[0.00269883,0.0001319,0.0002703187,0.000732103,0.00009341134,0.0001290996,0.00002619224,0.0002434451,0.00003467869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001751705,"about_ca_system_score_gemma":0.0006979239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000421471,"about_ca_topic_score_gemma":0.00005087469,"domain_scores_codex":[0.9956482,0.001843567,0.001421057,0.0004215296,0.0003663798,0.0002992435],"domain_scores_gemma":[0.9972289,0.0009866243,0.0004842528,0.0008833696,0.0002855148,0.0001313238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001179684,0.01509891,0.8494351,0.0007325578,0.001479755,0.000008106002,0.009642871,0.0149065,0.06898619,0.001273723,0.002367583,0.03488901],"study_design_scores_gemma":[0.01860568,0.00118076,0.9022653,0.0001887916,0.002936689,0.000004937025,0.0003030232,0.03052695,0.01951719,0.002778176,0.02119028,0.0005022822],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935263,0.0002083054,0.000719751,0.003139594,0.0001928615,0.001821161,0.00003103867,0.00002552369,0.0003355051],"genre_scores_gemma":[0.9977862,0.00002796,0.0008593199,0.0003163813,0.0005657567,0.0001868001,0.000220511,0.00001286569,0.00002423876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05283013,"threshold_uncertainty_score":0.6352161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04179602593866221,"score_gpt":0.2948839463905119,"score_spread":0.2530879204518496,"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."}}