{"id":"W3153613132","doi":"10.1016/j.ekir.2021.03.336","title":"POS-320 INSIDE ANEMIA OF CKD: QUANTIFYING THE EPIDEMIOLOGICAL BURDEN OF ANEMIA OF CKD IN CANADA VIA MICROSIMULATION MODELLING","year":2021,"lang":"en","type":"article","venue":"Kidney International Reports","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":"Ipsen; Astellas Pharma; AstraZeneca; Fresenius Medical Care North America; Celgene; Medical Research Council; Sanofi; National Health and Medical Research Council; Amgen","keywords":"Medicine; Anemia; Kidney disease; Epidemiology; Microsimulation; Intensive care medicine; Disease; Disease burden; Pediatrics; 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":[0.000559352,0.0005504251,0.0004668162,0.0006317195,0.0007956136,0.001289845,0.0009865895,0.0006137769,0.002492251],"category_scores_gemma":[0.002167272,0.0002385781,0.0007594426,0.0008327672,0.000660092,0.0004014043,0.0007753887,0.0006658901,0.0001540252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01360365,"about_ca_system_score_gemma":0.01839103,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9596357,"about_ca_topic_score_gemma":0.9173008,"domain_scores_codex":[0.9997091,0.00006975114,0.000009331949,0.00005543403,0.00005473159,0.0001017708],"domain_scores_gemma":[0.9990789,0.0002801697,0.00009849937,0.00004091157,0.0003938464,0.0001077167],"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":[0.00004972399,0.00003156053,0.01987168,0.0000235833,0.0000543448,0.00004540713,0.00007893085,0.9652744,0.0002442695,0.00890899,0.001620805,0.003796411],"study_design_scores_gemma":[0.000009275084,0.00001829663,0.00600859,0.00001095623,0.00002561372,0.00001065447,0.0001089828,0.9904696,0.0001113591,0.00161335,0.001599307,0.00001405907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9072776,0.0007154272,0.05306093,0.003324532,0.0001108275,0.0001907727,0.008352268,0.0003489834,0.02661854],"genre_scores_gemma":[0.9860895,0.0002682284,0.007015952,0.0001193509,0.00001318931,0.0000542413,0.001256941,0.00002182203,0.005160868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04036427,"threshold_uncertainty_score":0.09870183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06280127518960739,"score_gpt":0.3313406576601871,"score_spread":0.2685393824705797,"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."}}