{"id":"W6926408792","doi":"10.25384/sage.18832014","title":"sj-docx-3-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":"Pneumonia and Respiratory Infections","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":[0.004896975,0.002426134,0.004092488,0.006433815,0.001003089,0.005235239,0.003685128,0.003096787,0.9200639],"category_scores_gemma":[0.06167596,0.002465824,0.004364261,0.009755584,0.0007088208,0.004636795,0.0027669,0.002411419,0.2527851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002583962,"about_ca_system_score_gemma":0.006312124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01197324,"about_ca_topic_score_gemma":0.02841291,"domain_scores_codex":[0.9970975,0.0005168418,0.0009107234,0.0004425932,0.0007274686,0.0003049314],"domain_scores_gemma":[0.9525186,0.0324066,0.004720093,0.001781271,0.007428702,0.001144632],"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":[0.0005987239,0.00006435351,0.0006990606,0.08820003,0.000563113,0.00006122936,0.00007115326,0.0002604615,0.0002119367,0.001020031,0.8998804,0.008369449],"study_design_scores_gemma":[0.023527,0.0004314489,0.0157084,0.04366263,0.003059571,0.0004648079,0.0004888682,0.001322957,0.001040553,0.00957618,0.9003509,0.0003667062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002290419,0.0007021032,0.000346014,0.0006480112,0.0005805104,0.0009446904,0.9925603,0.0007356207,0.003253722],"genre_scores_gemma":[0.009667444,0.003179169,0.01056077,0.006706243,0.001860873,0.02297104,0.8699635,0.003226271,0.07186477],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9200639,"threshold_uncertainty_score":0.1140192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06396703305099942,"score_gpt":0.3466225649022134,"score_spread":0.282655531851214,"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."}}