{"id":"W2920432359","doi":"10.1053/j.jrn.2019.01.013","title":"Prediction of Mortality and Hospitalization Risk Using Nutritional Indicators and Their Changes Over Time in a Large Prevalent Hemodialysis Cohort","year":2019,"lang":"en","type":"article","venue":"Journal of Renal Nutrition","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Fresenius Medical Care North America","keywords":"Medicine; Confidence interval; Hemodialysis; Receiver operating characteristic; Internal medicine; Area under the curve","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006819458,0.00009974816,0.000372812,0.0005551771,0.00002687773,0.00001554412,0.0000270512,0.00006907796,0.00006219274],"category_scores_gemma":[0.00004028903,0.00007588994,0.0001103962,0.0002773777,0.00003778063,0.0001548165,0.00002489167,0.0001060353,4.020992e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007952,"about_ca_system_score_gemma":0.00002476132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001294894,"about_ca_topic_score_gemma":0.000004265757,"domain_scores_codex":[0.9989085,0.00009953688,0.0004085595,0.0001371406,0.0003475564,0.00009872406],"domain_scores_gemma":[0.9991984,0.00003173721,0.000479351,0.00008193913,0.0001214487,0.00008716749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003425832,0.00107448,0.9800074,0.0006722372,0.0004545218,0.000008185738,0.0001469402,0.00004439181,0.01642464,0.00003231866,0.00009294294,0.0006993958],"study_design_scores_gemma":[0.003731512,0.000424913,0.9841855,0.001112725,0.000734938,0.00002244572,0.00008409806,0.008011173,0.001217732,0.0002381161,0.0001716476,0.0000652274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970785,0.001691219,0.0004553518,0.0001148114,0.00004629918,0.000435314,0.0001390199,0.000003904071,0.00003551602],"genre_scores_gemma":[0.9953835,0.004167889,0.0001790125,0.00002994491,0.0001454007,0.000005167229,0.00007111125,0.000007629083,0.00001037386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0152069,"threshold_uncertainty_score":0.3094702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190097519458737,"score_gpt":0.2487403681559935,"score_spread":0.2368393929614062,"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."}}