{"id":"W4409150057","doi":"10.1016/j.ekir.2025.03.054","title":"Temporal Changes in Blood Metabolome Among Patients on Hemodialysis","year":2025,"lang":"en","type":"article","venue":"Kidney International Reports","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"Genome Alberta; Canadian Institutes of Health Research; Alberta Innovates; Calgary Foundation; Genome Canada","keywords":"Medicine; Metabolome; Hemodialysis; Intensive care medicine; Emergency medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002725839,0.00009706041,0.0002194954,0.0002854643,0.0001787748,0.0003985357,0.00009740505,0.0002138637,0.0009686554],"category_scores_gemma":[0.0009546339,0.00006749138,0.0001992325,0.0006252841,0.00009437609,0.0002539667,0.0002728902,0.0002471504,0.000112252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001549949,"about_ca_system_score_gemma":0.0001426278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002191256,"about_ca_topic_score_gemma":0.003031613,"domain_scores_codex":[0.9998261,0.00004135294,0.00001720195,0.00005638435,0.00002960747,0.00002948571],"domain_scores_gemma":[0.9995222,0.00009246112,0.0002512932,0.00002879461,0.00005509897,0.00005016273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006147621,0.00003554101,0.9891929,0.00003034116,0.00007814658,0.00006245922,0.0001242828,0.00006053028,0.002230097,0.0000278988,0.0001709695,0.007371984],"study_design_scores_gemma":[0.000002867453,0.00009204065,0.9991311,0.000004024202,0.00002075123,0.00009827716,0.00009701971,0.0000945435,0.0001971266,0.00002571289,0.0002342122,0.000002331765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980624,0.0004990535,0.0001623605,0.00008517865,0.000004339972,0.000007336562,0.0008246214,0.000005824625,0.0003489639],"genre_scores_gemma":[0.9988965,0.0001723602,0.0001894307,0.00003925546,0.000009300838,0.00000782217,0.0005436882,0.000001623242,0.0001400943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002191256,"threshold_uncertainty_score":0.00435698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005038398091883049,"score_gpt":0.2421691460603962,"score_spread":0.2371307479685131,"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."}}