{"id":"W2555826161","doi":"10.1111/hdi.12511","title":"Bioimpedance monitoring of cellular hydration during hemodialysis therapy","year":2016,"lang":"en","type":"article","venue":"Hemodialysis International","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Hemodialysis; Extracellular fluid; Medicine; Intravascular volume status; Dialysis; Intracellular Fluid; Intracellular; Interstitial fluid; Blood volume; Extracellular; Fluid compartments; Urology; Cardiology; Internal medicine; Intensive care medicine; Chemistry; Hemodynamics; Biochemistry","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":[0.0002880685,0.0001503942,0.0002824189,0.0003724698,0.0000532056,0.00001826179,0.0001830325,0.00007940438,0.000398163],"category_scores_gemma":[0.00009713312,0.0001136209,0.0002443269,0.0002229134,0.00006568811,0.0002200642,0.00003871895,0.00007227665,0.00003022556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002296915,"about_ca_system_score_gemma":0.00004304911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001072627,"about_ca_topic_score_gemma":6.403849e-7,"domain_scores_codex":[0.9983187,0.00005149575,0.0004463015,0.0002920456,0.000738266,0.0001532277],"domain_scores_gemma":[0.9988629,0.00005427799,0.0002263365,0.0003427684,0.0004445644,0.00006911898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001669771,0.0001233231,0.1351006,0.00001025173,0.0002253535,0.000005101675,0.0000671032,0.000005469175,0.8548266,0.0001224852,0.00005412354,0.009292659],"study_design_scores_gemma":[0.001409799,0.00004241756,0.06240898,0.0001495671,0.00006090435,0.000006672643,0.00001260561,0.0001275214,0.9351681,0.0001747151,0.0003255152,0.0001131677],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967769,0.0001195806,0.02898737,0.001032366,0.0002842137,0.0001886956,0.00001026058,0.0001443025,0.001464202],"genre_scores_gemma":[0.9918118,0.0003142896,0.006756957,0.00004148265,0.0005700975,0.00004168472,0.00001915993,0.00002223008,0.0004223594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08034158,"threshold_uncertainty_score":0.4633327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02807918785987944,"score_gpt":0.2835737940348773,"score_spread":0.2554946061749978,"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."}}