{"id":"W2043873262","doi":"10.1111/j.1542-4758.2006.01170.x","title":"Composition and clinical use of hemodialysates","year":2006,"lang":"en","type":"article","venue":"Hemodialysis International","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ingredient; Medicine; Intensive care medicine; Patient care; Risk analysis (engineering); Nursing; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002020103,0.00009132244,0.0002861594,0.0001958479,0.00002580479,0.0000385732,0.00005554281,0.00005026484,0.0001549159],"category_scores_gemma":[0.00005520358,0.0000759194,0.0002642161,0.0001129341,0.0001104802,0.00009950846,0.00006080247,0.00005950632,0.00001463586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002798232,"about_ca_system_score_gemma":0.00001751124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001262214,"about_ca_topic_score_gemma":0.00001182445,"domain_scores_codex":[0.9988544,0.00004691818,0.0004702526,0.0002107585,0.0003308151,0.00008688105],"domain_scores_gemma":[0.9993948,0.0001145098,0.000142069,0.0001572674,0.0001255374,0.00006584781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006211637,0.002331085,0.9236093,0.00005768034,0.001797953,0.00005157382,0.00003776635,0.0002595094,0.0109474,0.01469787,0.01122666,0.03436206],"study_design_scores_gemma":[0.002007334,0.00007405002,0.9676509,0.00006862868,0.001124778,0.0000108681,0.0000142672,0.01241089,0.00285334,0.0007694211,0.01286502,0.0001504499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898221,0.00006140445,0.002216441,0.0009583076,0.0001919349,0.0001277203,0.00002195513,0.00002589024,0.00657426],"genre_scores_gemma":[0.9945395,0.00009842931,0.003790424,0.0002871626,0.0003137064,0.000005125807,0.0003105463,0.000008651734,0.0006464682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04404167,"threshold_uncertainty_score":0.3095903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0279339874393865,"score_gpt":0.3092347489683229,"score_spread":0.2813007615289363,"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."}}