{"id":"W3170978708","doi":"10.1093/ndt/gfab087.006","title":"MO486<i>INSIDE CKD</i>: MODELLING THE IMPACT OF IMPROVED SCREENING FOR CHRONIC KIDNEY DISEASE IN THE AMERICAS AND ASIA-PACIFIC REGION","year":2021,"lang":"en","type":"article","venue":"Nephrology Dialysis Transplantation","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Orthopaedic Innovation Centre","funders":"","keywords":"Medicine; Kidney disease; Psychological intervention; Intensive care medicine; Microsimulation; Incidence (geometry); Diabetes mellitus; Emergency medicine; 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":[0.0008949481,0.0007519976,0.0007858453,0.0006712193,0.0005985991,0.001274661,0.001487092,0.00153369,0.004422888],"category_scores_gemma":[0.003007355,0.0006031739,0.001688912,0.0007343497,0.000857792,0.0005277032,0.001002644,0.001220249,0.0002610036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003243583,"about_ca_system_score_gemma":0.003966263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3758685,"about_ca_topic_score_gemma":0.1820666,"domain_scores_codex":[0.999673,0.0001245628,0.000008764115,0.00004904509,0.00002294921,0.0001216045],"domain_scores_gemma":[0.9983606,0.0009490264,0.0001827872,0.00005428146,0.0002496121,0.000203758],"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":[0.00004633346,0.00003036004,0.004109724,0.0000114165,0.00003381024,0.00003626687,0.00001548803,0.9936342,0.00006141167,0.001077469,0.0003422931,0.000601169],"study_design_scores_gemma":[0.00003346744,0.00003545154,0.001990438,0.000008810264,0.00002460846,0.0000119797,0.00004415803,0.9968816,0.00004753953,0.0005075646,0.0004059204,0.000008563936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685371,0.0003453947,0.01281958,0.001449451,0.00007422886,0.0001144092,0.003739174,0.0001379647,0.01278282],"genre_scores_gemma":[0.992392,0.0001540219,0.00339853,0.0001599344,0.00001432981,0.00007688162,0.000942294,0.00002490633,0.002837171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3758685,"threshold_uncertainty_score":0.7473614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03422776159840392,"score_gpt":0.2889691183302597,"score_spread":0.2547413567318558,"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."}}