{"id":"W4237962142","doi":"10.1002/hdi.2001.5.1.13","title":"Daily Dialysis and Flexible Schedules: How to Assess Kt/V and EKR<sub>c</sub>?","year":2001,"lang":"en","type":"article","venue":"Hemodialysis International","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dialysis; Medicine; Hemodialysis; Polysulfone; Dialysis adequacy; Urology; Surgery; Chemistry; Membrane","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008383929,0.0009112175,0.001856641,0.002203793,0.0003265419,0.002030224,0.001441017,0.001464146,0.0007995359],"category_scores_gemma":[0.033934,0.0003766402,0.0005578553,0.002241794,0.0007755946,0.002620947,0.0006317469,0.0009803603,0.00103744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004383766,"about_ca_system_score_gemma":0.000529796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003495379,"about_ca_topic_score_gemma":0.003275735,"domain_scores_codex":[0.9937013,0.002713702,0.001008022,0.0006295901,0.00178983,0.0001575822],"domain_scores_gemma":[0.9798503,0.008692424,0.004733621,0.001914264,0.003820571,0.0009889164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008414649,0.0001410435,0.8366495,0.0002967212,0.0002917423,0.0003398637,0.0003450721,0.002359694,0.001842327,0.0003283028,0.003231633,0.1533327],"study_design_scores_gemma":[0.00004823323,0.0009254255,0.9659595,0.000208971,0.0001280356,0.002823779,0.0008183946,0.02043898,0.002192316,0.001525161,0.004830693,0.0001004592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8054557,0.03441545,0.1388616,0.002841699,0.0004523036,0.0008080141,0.002536122,0.001240864,0.01338828],"genre_scores_gemma":[0.9501182,0.003021598,0.04431516,0.0005004395,0.0002876845,0.0002685991,0.0007048766,0.000149672,0.0006337256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008383929,"threshold_uncertainty_score":0.044339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02770682039798977,"score_gpt":0.283534114438561,"score_spread":0.2558272940405712,"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."}}