{"id":"W4388211549","doi":"10.1016/j.ekir.2023.10.020","title":"Proteome-Wide Changes in Blood Biomarkers During Hemodialysis","year":2023,"lang":"en","type":"article","venue":"Kidney International Reports","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute; McMaster University; Impact; University of Alberta; St. Joseph’s Healthcare Hamilton","funders":"McMaster University","keywords":"Hemodialysis; Medicine; Dialysis; Biomarker; Proteome; Internal medicine; Blood proteins; Blood pressure; Cohort; Prospective cohort study; Ultrafiltration (renal); Chromatography; Chemistry; Biochemistry","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":[0.0007007031,0.0002512474,0.0004697666,0.0005289652,0.0002924122,0.001041039,0.000188459,0.0003262892,0.0008435478],"category_scores_gemma":[0.001272608,0.0001391446,0.0003549249,0.0008148479,0.0002298041,0.0002863524,0.0004709398,0.0003626542,0.0001700998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002217041,"about_ca_system_score_gemma":0.0001307419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007859943,"about_ca_topic_score_gemma":0.0006342104,"domain_scores_codex":[0.9994687,0.000113428,0.00004156705,0.0002004417,0.0001172832,0.00005855262],"domain_scores_gemma":[0.9990939,0.0001925813,0.0004789904,0.00005749516,0.0001048874,0.00007203659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000872921,0.0000571121,0.9477232,0.0001148571,0.0003227112,0.0001413728,0.0001498781,0.0002270583,0.04092016,0.00006215307,0.0003570084,0.00905149],"study_design_scores_gemma":[0.000003989812,0.00009387941,0.9964359,0.000004950535,0.00004519598,0.0002065037,0.00004864175,0.0002159038,0.002601523,0.00005114055,0.0002884052,0.000004126367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969695,0.0009042542,0.0005605828,0.00005169072,0.000009447738,0.000007343703,0.001232177,0.00001835879,0.0002466864],"genre_scores_gemma":[0.9978395,0.0002584991,0.0005878104,0.0000598512,0.00002201269,0.00001452852,0.001038017,0.000005371347,0.0001743693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001041039,"threshold_uncertainty_score":0.00370568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172637833874323,"score_gpt":0.2626818025190218,"score_spread":0.2509554241802786,"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."}}