{"id":"W3170786302","doi":"10.1093/ndt/gfab085.0012","title":"MO549INSIDE ANEMIA OF CKD: MICROSIMULATION MODELLING OF THE IMPACT OF POLICY INTERVENTIONS ON ANAEMIA OF CKD IN CANADA","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; AstraZeneca (Canada)","funders":"","keywords":"Medicine; Kidney disease; Cohort; Microsimulation; Population; Anemia; Epidemiology; Psychological intervention; Intensive care medicine; Environmental health; Internal medicine","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":[0.001098029,0.0007455915,0.0008378433,0.0007845687,0.001106518,0.00154924,0.001659712,0.001140044,0.003282816],"category_scores_gemma":[0.003997593,0.0004123026,0.00126007,0.0009360282,0.001165992,0.0004109148,0.001004042,0.0009593227,0.0001445587],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02052012,"about_ca_system_score_gemma":0.02122512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9572961,"about_ca_topic_score_gemma":0.8947071,"domain_scores_codex":[0.9994386,0.0001552647,0.00001225168,0.00007844943,0.0000634073,0.0002520109],"domain_scores_gemma":[0.9980077,0.0008929609,0.0001947472,0.00005938078,0.0006074703,0.000237716],"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":[0.00006396317,0.00003083226,0.006262464,0.00002071489,0.00003917111,0.00004693586,0.00004563449,0.987152,0.0000853033,0.004242846,0.0008436173,0.001166403],"study_design_scores_gemma":[0.00004217237,0.00004105516,0.003943766,0.00001399668,0.00004077426,0.000009324509,0.0001336136,0.9934475,0.00006241356,0.001237233,0.001010548,0.00001754894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9496967,0.0006073008,0.01733331,0.002756236,0.00009030405,0.0002675552,0.005955966,0.0001465662,0.02314595],"genre_scores_gemma":[0.9907091,0.0002418015,0.00310292,0.0001411635,0.00001088043,0.00008993714,0.0007977562,0.00001702538,0.004889525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9794799,"threshold_uncertainty_score":0.1488846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0343238940318964,"score_gpt":0.319380208834439,"score_spread":0.2850563148025426,"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."}}