{"id":"W3007800187","doi":"10.1016/j.kisu.2019.11.001","title":"Capturing and monitoring global differences in untreated and treated end-stage kidney disease, kidney replacement therapy modality, and outcomes","year":2020,"lang":"en","type":"review","venue":"Kidney International Supplements","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":134,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"International Society of Nephrology; Baxter International","keywords":"End-stage kidney disease; Renal replacement therapy; Medicine; Stage (stratigraphy); Modality (human–computer interaction); Kidney disease; End stage renal disease; Intensive care medicine; Kidney; Disease; Internal medicine; Computer science; Biology; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002048911,0.0006787087,0.001487065,0.0003050237,0.0000906331,0.0001933899,0.0002289134,0.0001215348,0.0006509153],"category_scores_gemma":[0.0003171909,0.0004937624,0.0002392054,0.0002348049,0.00009705468,0.0001390175,0.0004955698,0.0002130083,0.000006703624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003858887,"about_ca_system_score_gemma":0.0003204591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006725903,"about_ca_topic_score_gemma":0.00001159059,"domain_scores_codex":[0.9968446,0.0001549037,0.0008822891,0.0009640147,0.0007728877,0.0003813197],"domain_scores_gemma":[0.9974476,0.00005500453,0.000311382,0.0002846565,0.00006308697,0.001838313],"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":[0.000330129,0.0004107147,0.8841789,0.004834686,0.003182443,0.0003113045,0.0001267882,1.249885e-7,0.000002115978,0.0003272306,0.003892671,0.1024028],"study_design_scores_gemma":[0.005474199,0.0001300871,0.09330343,0.007749331,0.001554285,0.000008839901,0.00006603144,0.00009375576,0.000004510486,0.00009959952,0.8909881,0.0005277876],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01643753,0.9401394,0.00001957394,0.01463871,0.001044299,0.00453962,0.02129332,0.0001603904,0.001727134],"genre_scores_gemma":[0.02319137,0.968794,0.0001027689,0.00102838,0.0001781679,0.0002582915,0.005370717,0.00004413791,0.001032106],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8870955,"threshold_uncertainty_score":0.9997514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04727972113628779,"score_gpt":0.3520344418102263,"score_spread":0.3047547206739384,"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."}}