{"id":"W3169494105","doi":"10.1093/ndt/gfab087.0038","title":"MO518<i>INSIDE CKD</i>: MODELLING THE ECONOMIC BURDEN OF CHRONIC KIDNEY DISEASE IN THE AMERICAS AND THE ASIA-PACIFIC REGION USING PATIENT-LEVEL MICROSIMULATION","year":2021,"lang":"en","type":"article","venue":"Nephrology Dialysis Transplantation","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Medicine; Kidney disease; Microsimulation; Albuminuria; Renal replacement therapy; Population; Renal function; Health care; Public health; Disease burden; Intensive care medicine; Environmental health; Internal medicine; Economic growth","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":[0.0009446748,0.0007444421,0.0006700621,0.0006073928,0.0004354404,0.001112191,0.001239706,0.001468625,0.004745853],"category_scores_gemma":[0.00358972,0.0005155061,0.001493549,0.0006810292,0.0007388311,0.000608621,0.001261054,0.001186909,0.0003403328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001602522,"about_ca_system_score_gemma":0.001822821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08112417,"about_ca_topic_score_gemma":0.03094486,"domain_scores_codex":[0.9996442,0.0001671439,0.00001332983,0.00005998204,0.00002935628,0.00008598802],"domain_scores_gemma":[0.99817,0.001209375,0.0001985261,0.00006360165,0.0002236243,0.0001349808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000181297,0.00001636085,0.001950513,0.00001062868,0.00002134427,0.00003155514,0.00001499746,0.9955443,0.00005507436,0.001486356,0.0002597873,0.000591082],"study_design_scores_gemma":[0.00001105109,0.00001369876,0.0006647562,0.000006375597,0.000008892447,0.000007813467,0.00002171472,0.9980849,0.00003336954,0.0007606026,0.000381701,0.000005187967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8776412,0.0006078169,0.09204032,0.00218767,0.0001928388,0.0002115683,0.004777774,0.0003923723,0.02194839],"genre_scores_gemma":[0.9805423,0.0002111535,0.01350972,0.0002214369,0.0000297744,0.0002031138,0.001323512,0.00006007107,0.003899027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08112417,"threshold_uncertainty_score":0.161304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02207999319196489,"score_gpt":0.2525798510856883,"score_spread":0.2304998578937234,"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."}}