{"id":"W4406872211","doi":"10.1016/j.ekir.2025.01.020","title":"Inside CKD: Cost-Effectiveness of Multinational Screening for CKD","year":2025,"lang":"en","type":"article","venue":"Kidney International Reports","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Boehringer Ingelheim; AstraZeneca","keywords":"Medicine; Kidney disease; Renal function; Population; Cost effectiveness; Diabetes mellitus; Creatinine; Internal medicine; Intensive care medicine; Endocrinology; Environmental health; Risk analysis (engineering)","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":[0.003479596,0.0005928376,0.0005956917,0.0003551871,0.0002257127,0.001372098,0.0007580391,0.0006504875,0.002843676],"category_scores_gemma":[0.01428837,0.0002644616,0.001088927,0.0004234149,0.0004336828,0.0009994812,0.001040359,0.0006390751,0.0001110538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002558143,"about_ca_system_score_gemma":0.002122172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01942165,"about_ca_topic_score_gemma":0.008606429,"domain_scores_codex":[0.9980431,0.001414329,0.00005688228,0.0001996452,0.0001112355,0.0001747789],"domain_scores_gemma":[0.9948773,0.003471,0.0007873485,0.0002411506,0.0002728729,0.0003502742],"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":[0.002437185,0.0004044618,0.1116499,0.0002048437,0.0008887615,0.0001706148,0.00007340587,0.8479365,0.0003550057,0.006348392,0.00185368,0.0276772],"study_design_scores_gemma":[0.0008615348,0.003138129,0.08468352,0.0002268127,0.001031497,0.0003620932,0.0003514703,0.8941863,0.0009342614,0.01095344,0.00320116,0.00006969881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838494,0.0007459298,0.006764928,0.001598278,0.00005597854,0.0001480023,0.001979579,0.00005983303,0.00479803],"genre_scores_gemma":[0.9979038,0.0001286536,0.001168323,0.0001052173,0.000008237401,0.00004121137,0.0004154991,0.000003500839,0.0002255905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01942165,"threshold_uncertainty_score":0.03861719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02615604585723083,"score_gpt":0.3582871381892536,"score_spread":0.3321310923320228,"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."}}