{"id":"W6999361165","doi":"","title":"Correlation between body composition analysis and cognition in maintenance hemodialysis patients","year":2022,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognition; Correlation; Hemodialysis; Body mass index; Linear regression; Body water; Composition (language); Regression analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.0002948163,0.0002084955,0.0002754332,0.0006367365,0.0002877907,0.0003779866,0.0001485854,0.0002340624,0.001000562],"category_scores_gemma":[0.001310489,0.00009743477,0.0002670784,0.0006059336,0.0001139291,0.0002166709,0.0002570324,0.0003942489,0.0001289509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002384364,"about_ca_system_score_gemma":0.0001799582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003162418,"about_ca_topic_score_gemma":0.004228659,"domain_scores_codex":[0.9997852,0.000035061,0.00003617992,0.000043711,0.00006305938,0.00003676846],"domain_scores_gemma":[0.9994144,0.00008921459,0.0002681122,0.00003113451,0.00009746794,0.00009970438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008544384,0.00001868909,0.9978288,0.000006169323,0.00002899496,0.00003572872,0.00002854882,0.00002247367,0.0001285099,0.000004750908,0.00004164029,0.001770365],"study_design_scores_gemma":[0.000002509523,0.00006398391,0.9994647,0.000002464543,0.00001413711,0.0001156597,0.0000467181,0.0001343802,0.00006078175,0.0000117419,0.00008088169,0.000002075814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987713,0.0004531155,0.00008576296,0.00004094319,0.000007854946,0.000003985586,0.000147367,0.00000482139,0.0004847666],"genre_scores_gemma":[0.9995155,0.00008954677,0.00007952311,0.00001527122,0.000007780437,0.000003309272,0.0001446513,6.757508e-7,0.0001438753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003162418,"threshold_uncertainty_score":0.006287992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09328723172104968,"score_gpt":0.4659674340960381,"score_spread":0.3726802023749884,"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."}}