{"id":"W6945276496","doi":"10.25384/sage.18832026","title":"sj-docx-7-cjk-10.1177_20543581211067090 – Supplemental material for Effects of Medium Cut-Off Versus High-Flux Hemodialysis Membranes on Biomarkers: A Systematic Review and Meta-Analysis","year":2022,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hemodialysis; Membrane; Kidney disease; Artificial kidney; Kidney; Systematic review","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004726644,0.002258549,0.003873714,0.006472213,0.0009145993,0.004834088,0.00342979,0.002895076,0.9170656],"category_scores_gemma":[0.0633667,0.002268695,0.004063295,0.009394534,0.000672705,0.004355024,0.002678388,0.002283094,0.2604889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002396948,"about_ca_system_score_gemma":0.005955745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01048349,"about_ca_topic_score_gemma":0.02605911,"domain_scores_codex":[0.9972959,0.0005047856,0.000844883,0.0004000982,0.0006817295,0.0002725198],"domain_scores_gemma":[0.9497408,0.03486597,0.00474414,0.001757407,0.007746358,0.001145363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005242784,0.00006040741,0.0006421631,0.08104634,0.0004917396,0.00005702333,0.00006807514,0.00023878,0.0001953646,0.001002515,0.9070072,0.008666106],"study_design_scores_gemma":[0.01959012,0.0004003613,0.01485984,0.04382256,0.002638324,0.0004356072,0.0004730772,0.00120302,0.0009421551,0.00932361,0.9059846,0.0003268031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002400427,0.0007829936,0.000376446,0.0007215693,0.0006169838,0.001004782,0.9919807,0.0007251552,0.003551419],"genre_scores_gemma":[0.009163737,0.003423079,0.01029975,0.006573453,0.001913501,0.02262066,0.871109,0.003049513,0.07184727],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9170656,"threshold_uncertainty_score":0.1182959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05337352091375044,"score_gpt":0.3310370457985264,"score_spread":0.277663524884776,"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."}}