{"id":"W3167528025","doi":"10.1093/ndt/gfab085.008","title":"MO545INSIDE ANEMIA OF CKD: ESTIMATING THE IMPACT OF POLICY INTERVENTIONS ON ANAEMIA OF CKD IN THE USA BY MICROSIMULATION MODELLING","year":2021,"lang":"en","type":"article","venue":"Nephrology Dialysis Transplantation","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Orthopaedic Innovation Centre","funders":"","keywords":"Medicine; Kidney disease; Microsimulation; Cohort; Population; Anemia; Epidemiology; Psychological intervention; Health care; Environmental health; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002135524,0.00068538,0.0007164577,0.0008413305,0.0004190888,0.001199994,0.001149504,0.001327615,0.002236658],"category_scores_gemma":[0.00790412,0.0005366967,0.001931011,0.0006838923,0.0004904893,0.0007082249,0.0009394108,0.001248727,0.0001582298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002835892,"about_ca_system_score_gemma":0.002551598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08838566,"about_ca_topic_score_gemma":0.03659809,"domain_scores_codex":[0.9992396,0.0004465699,0.00002229932,0.0001084934,0.00004656414,0.000136575],"domain_scores_gemma":[0.9947161,0.003862476,0.000555846,0.0001796444,0.0004452002,0.0002407246],"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":[0.0001022711,0.00009422852,0.01166681,0.0000219648,0.0001026592,0.00004294852,0.00002489579,0.9836023,0.0000889203,0.001878206,0.0003998591,0.001975002],"study_design_scores_gemma":[0.0000263776,0.0001053535,0.003402076,0.00001011258,0.00004449453,0.00001139459,0.00003764555,0.9947194,0.00007306994,0.001250292,0.000310572,0.000009243721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728557,0.0002349805,0.02008824,0.001208952,0.00004541628,0.0001441641,0.001774656,0.00008005789,0.003567853],"genre_scores_gemma":[0.9937963,0.0001197736,0.004315931,0.0001327016,0.0000133433,0.0001264477,0.0005458294,0.000009431204,0.0009401341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08838566,"threshold_uncertainty_score":0.1757424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0414243154298828,"score_gpt":0.3650232426541887,"score_spread":0.3235989272243059,"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."}}