{"id":"W2912707084","doi":"10.1016/j.ekir.2019.02.002","title":"The Utility of a National Surveillance Network to Estimate CKD Prevalence and Identify High-Risk Populations in Primary Care","year":2019,"lang":"en","type":"editorial","venue":"Kidney International Reports","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Primary care; Environmental health; Intensive care medicine; Emergency medicine; Family medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02656828,0.000870676,0.003086386,0.01061598,0.001103078,0.003171381,0.002124033,0.001479858,0.00251492],"category_scores_gemma":[0.1018969,0.0007534224,0.002579554,0.01009323,0.000288744,0.002895809,0.003312296,0.001460531,0.0006508392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0025582,"about_ca_system_score_gemma":0.004846633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0510941,"about_ca_topic_score_gemma":0.06203626,"domain_scores_codex":[0.9715369,0.016707,0.00390051,0.002804841,0.004490719,0.000560009],"domain_scores_gemma":[0.9432526,0.02879613,0.008281131,0.004972089,0.0130571,0.001641126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005041552,0.0002466252,0.909451,0.002209373,0.00314712,0.00008897858,0.0005794025,0.001182219,0.000112935,0.0009703076,0.0226117,0.05889624],"study_design_scores_gemma":[0.0004202472,0.000517378,0.963007,0.002618669,0.002650581,0.0003614575,0.001217045,0.0147366,0.0002323864,0.002256196,0.01187982,0.0001026101],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"editorial","genre_scores_codex":[0.5989649,0.03980975,0.05028687,0.00894842,0.001404889,0.01029952,0.252075,0.001618262,0.03659235],"genre_scores_gemma":[0.8757541,0.00598719,0.05967165,0.001622982,0.0004218182,0.008197831,0.04725182,0.0001018491,0.0009907152],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.0510941,"threshold_uncertainty_score":0.1405082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133385200218043,"score_gpt":0.3309791855597909,"score_spread":0.3196453335576104,"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."}}