{"id":"W3033811995","doi":"10.1093/ndt/gfaa142.p0918","title":"P0918LONGITUDINAL TRAJECTORIES OF NUTRITIONAL PARAMETERS WITH ORAL NUTRITIONAL SUPPLEMENT USE AMONG NON-DIALYSIS CHRONIC KIDNEY DISEASE PATIENTS","year":2020,"lang":"en","type":"article","venue":"Nephrology Dialysis Transplantation","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Kidney disease; Wasting; Medical prescription; Dialysis; Internal medicine; Malnutrition; Body mass index; Cohort; Renal function; Cohort study; Secondary hyperparathyroidism; Retrospective cohort study; Parathyroid hormone; Calcium","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000569305,0.0001993568,0.0002411507,0.0006069124,0.0005841948,0.0007747724,0.0004614059,0.0003779601,0.002681827],"category_scores_gemma":[0.002233099,0.0002309493,0.0005035487,0.001329856,0.0001588599,0.0004501812,0.0005826165,0.0006418206,0.0004360778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004408928,"about_ca_system_score_gemma":0.0006867923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03086005,"about_ca_topic_score_gemma":0.0326144,"domain_scores_codex":[0.9995678,0.0000715627,0.00005971526,0.0001272072,0.00008011204,0.00009367109],"domain_scores_gemma":[0.9977539,0.0002353534,0.001237668,0.0001352368,0.0003171919,0.000320576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001966921,0.00001534445,0.9995016,0.000002699354,0.00001062626,0.000007291363,0.00002637697,0.00001101828,0.00002337223,0.000004718967,0.00006578505,0.000311589],"study_design_scores_gemma":[0.000001454556,0.00002905342,0.9996184,0.000003749174,0.000005249341,0.00003105299,0.00007788391,0.00009716076,0.00001478023,0.000007124012,0.0001125726,0.00000137736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970169,0.0001107505,0.00007494942,0.00007578765,0.000005926005,0.000009729401,0.002299441,0.000004594301,0.0004020001],"genre_scores_gemma":[0.9977617,0.000063272,0.0001374198,0.00003075115,0.000006305607,0.00001755814,0.001701583,0.000001974099,0.0002793566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03086005,"threshold_uncertainty_score":0.06136084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353498958489325,"score_gpt":0.2370817275408314,"score_spread":0.2235467379559382,"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."}}