{"id":"W6963930553","doi":"10.25384/sage.18864353","title":"sj-xlsx-6-cjk-10.1177_20543581211067087 – Supplemental material for Clinical Outcomes With Medium Cut-Off Versus High-Flux Hemodialysis Membranes: A Systematic Review and Meta-Analysis","year":2022,"lang":"en","type":"dataset","venue":"Sage Journals Data","topic":"Employee Performance and Leadership","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hemodialysis; Kidney disease; Systematic review; Disease; MEDLINE; Dialysis","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":[0.003517001,0.001248158,0.002630804,0.003114588,0.0004450763,0.003074756,0.00186226,0.00214555,0.4308069],"category_scores_gemma":[0.03088838,0.001031589,0.003515619,0.005943134,0.0002871674,0.001486532,0.00182685,0.001502702,0.06087099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001478555,"about_ca_system_score_gemma":0.004409249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008740359,"about_ca_topic_score_gemma":0.02664047,"domain_scores_codex":[0.9973264,0.0007490169,0.0008388103,0.000353172,0.0005009215,0.0002317789],"domain_scores_gemma":[0.9837196,0.009822027,0.003033728,0.0008687555,0.002006038,0.0005498202],"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":[0.001589044,0.00006362912,0.003621356,0.08905726,0.002752287,0.00006987513,0.00006821541,0.000415336,0.0003515193,0.001479003,0.8880608,0.01247171],"study_design_scores_gemma":[0.02661822,0.0004544698,0.03247816,0.0270919,0.007606165,0.0003291157,0.0001660463,0.0007251271,0.0007272747,0.005359727,0.8982663,0.0001774477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002746342,0.001004773,0.0001851791,0.0003028185,0.00007997,0.0002232903,0.9965518,0.0002079483,0.001169572],"genre_scores_gemma":[0.008649956,0.00249734,0.00401395,0.00197064,0.0002518763,0.006664334,0.9649375,0.0004601694,0.01055431],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4308069,"threshold_uncertainty_score":0.8118849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1975012616777239,"score_gpt":0.382887850141334,"score_spread":0.1853865884636101,"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."}}