{"id":"W2990088683","doi":"10.1016/j.kint.2019.09.019","title":"Epidemiology, molecular, and genetic methodologies to evaluate causes of CKDu around the world: report of the Working Group from the ISN International Consortium of Collaborators on CKDu","year":2019,"lang":"en","type":"editorial","venue":"Kidney International","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Medical Research Council","keywords":"Kidney disease; Etiology; Epidemiology; Medicine; Disease; Toll; Death toll; Sri lanka; Intensive care medicine; Environmental health; Pathology; Internal medicine; Immunology; History; Ethnology; South asia","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":[0.02549314,0.00507267,0.007659642,0.006728169,0.002681741,0.008693507,0.005848763,0.01512491,0.003360593],"category_scores_gemma":[0.05445341,0.002153321,0.005539915,0.003590491,0.002935532,0.005336767,0.001967164,0.02885904,0.003975176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003560218,"about_ca_system_score_gemma":0.005887256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00582347,"about_ca_topic_score_gemma":0.01175555,"domain_scores_codex":[0.9891557,0.002448042,0.00235258,0.001084301,0.004496371,0.0004630602],"domain_scores_gemma":[0.9093152,0.05142368,0.003444242,0.001380797,0.03047503,0.003961036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001154986,0.00002396202,0.000132863,0.001073165,0.0001851815,0.00008083171,0.00002717353,0.00003679423,0.00006195893,0.0003341522,0.9881248,0.009803472],"study_design_scores_gemma":[0.0005759104,0.0001546024,0.00259203,0.006133363,0.001339609,0.0006297368,0.0001997529,0.0006094387,0.0003655759,0.002571848,0.9846976,0.0001304787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00004224757,0.02318523,0.0002289591,0.02634275,0.9495938,0.00003188843,0.0001444584,0.00003375292,0.0003968902],"genre_scores_gemma":[0.0003050484,0.0188477,0.0003228479,0.02172497,0.9570094,0.00004011061,0.00009161486,0.00003509524,0.001623373],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02549314,"threshold_uncertainty_score":0.1348222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04742753556704565,"score_gpt":0.3786389228337547,"score_spread":0.3312113872667091,"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."}}