{"id":"W2091672010","doi":"10.1097/01.mat.0000225269.71817.6e","title":"Determining Lung Water Volume in Stable Hemodialysis Patients","year":2006,"lang":"en","type":"article","venue":"ASAIO Journal","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; University of Calgary","funders":"","keywords":"Hemodialysis; Extracellular fluid; Ultrafiltration (renal); Body water; Blood volume; Population; Medicine; Fluid compartments; Lung; Dialysis; Chemistry; Body fluid; Urology; Internal medicine; Cardiology; Chromatography; Extracellular; Body weight; Biochemistry","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":[0.0002922495,0.0001019225,0.0002156362,0.0001707632,0.00009143138,0.00004476035,0.00006135334,0.00006116428,0.0002065417],"category_scores_gemma":[0.00001513909,0.00007246053,0.00008025907,0.00008871659,0.00001467045,0.0001098304,0.00001410757,0.0002928366,0.00004037926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001800081,"about_ca_system_score_gemma":0.0000391814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001211035,"about_ca_topic_score_gemma":0.00001067501,"domain_scores_codex":[0.9989354,0.00003970066,0.0003075061,0.0001203897,0.0002521127,0.0003448913],"domain_scores_gemma":[0.9996392,0.00001362895,0.00005420867,0.0001223366,0.00007475946,0.00009587558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003867478,0.0001309259,0.9822237,0.000009181724,0.0000242873,0.0001133055,0.0001811067,0.0001340755,0.002638387,0.000001712508,0.0008357778,0.01366885],"study_design_scores_gemma":[0.005723482,0.0002237923,0.9642775,0.000216591,0.00007783053,0.0002075297,0.00006070599,0.005792436,0.007700765,0.0002456847,0.01521412,0.0002595699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966824,0.00006188758,0.0004739569,0.0001807514,0.0003520509,0.00004762303,9.598525e-7,0.00001732951,0.002183022],"genre_scores_gemma":[0.9950283,0.00001420608,0.0006220734,0.00009451659,0.0005596966,0.000002965682,0.00001298755,0.00001954381,0.003645767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01794623,"threshold_uncertainty_score":0.2954855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004935732151909018,"score_gpt":0.2319768110613222,"score_spread":0.2270410789094132,"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."}}