{"id":"W4285393065","doi":"10.1111/hdi.13032","title":"Screening for malnutrition with malnutrition inflammation score and geriatric nutritional risk index in hemodialysis patients","year":2022,"lang":"en","type":"article","venue":"Hemodialysis International","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Gazi Üniversitesi","keywords":"Malnutrition; Medicine; Hemodialysis; Receiver operating characteristic; Cutoff; Body mass index; Internal medicine; Pediatrics; Intensive care medicine","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":[0.0006915138,0.000300022,0.0003441392,0.0009020688,0.0002563227,0.0002891278,0.000142575,0.0002675614,0.0006343806],"category_scores_gemma":[0.00182042,0.0001212365,0.0002500284,0.0005890684,0.0001511973,0.0002687717,0.0003405616,0.0003449635,0.000103218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001629462,"about_ca_system_score_gemma":0.0002150236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007170219,"about_ca_topic_score_gemma":0.00109051,"domain_scores_codex":[0.9995745,0.0001698086,0.00006944573,0.00005133016,0.0000895834,0.00004529534],"domain_scores_gemma":[0.9993927,0.0001201996,0.000277764,0.00001565131,0.00007360419,0.0001200605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001071922,0.00004421912,0.9976173,0.00001172097,0.00001495045,0.00005206461,0.0000305515,0.00003309788,0.0001485378,0.000005554807,0.00005263896,0.001882035],"study_design_scores_gemma":[0.00001297952,0.0003839128,0.9981784,0.00001539359,0.00002853535,0.000522465,0.0001141313,0.0004159469,0.0001721508,0.00003652568,0.0001149402,0.000004588725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987457,0.000601059,0.0001422968,0.00004692401,0.000005668037,0.00001560956,0.00008559457,0.000003439225,0.0003537328],"genre_scores_gemma":[0.9993814,0.0001241397,0.0002911791,0.00001962688,0.000008782456,0.00001328794,0.00009002793,4.373495e-7,0.00007104187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009020688,"threshold_uncertainty_score":0.003657162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140149423717873,"score_gpt":0.2364768474565181,"score_spread":0.2250753532193394,"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."}}