{"id":"W2606555567","doi":"10.1016/j.semnephrol.2016.12.004","title":"Risk Prediction Models in CKD","year":2017,"lang":"en","type":"review","venue":"Seminars in Nephrology","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Seven Oaks General Hospital; University of Manitoba","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Intensive care medicine; Triage; Kidney disease; Nephrology; Modalities; Dialysis; Disease; Modality (human–computer interaction); Quality of life (healthcare); Health care; Renal replacement therapy; Internal medicine; Emergency medicine; Computer science; Nursing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007122747,0.0003272113,0.001975842,0.0007869003,0.00004532629,0.00001694942,0.000263595,0.000541775,0.00007908185],"category_scores_gemma":[0.0001194887,0.0002539314,0.0004308724,0.0002168731,0.0001240253,0.00006174394,0.0001841857,0.0006658191,0.00007563856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002117558,"about_ca_system_score_gemma":0.0001676465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001006635,"about_ca_topic_score_gemma":0.00009951043,"domain_scores_codex":[0.9978662,0.00027715,0.0007339632,0.0005568385,0.000193807,0.0003720698],"domain_scores_gemma":[0.9985598,0.00009045385,0.000416919,0.0008078385,0.0000221373,0.0001027978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005003589,0.0002191351,0.0001855392,0.004078568,0.0002141795,0.0004608407,0.00006191596,0.00007061802,7.154517e-8,0.0001879685,0.005431884,0.9890392],"study_design_scores_gemma":[0.0006059676,0.0001443853,0.000429218,0.01145296,0.001790362,0.00003536623,0.000009464856,0.0008088606,2.304821e-8,0.0008940767,0.9836659,0.0001633934],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001142007,0.9835668,0.0000270426,0.0000717926,0.0003271508,0.001060996,0.00005669034,0.00002616264,0.01474913],"genre_scores_gemma":[0.0001181905,0.99733,0.0001210845,0.0001577985,0.0002486751,0.0002681368,0.0002712014,0.0000395269,0.001445348],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9888759,"threshold_uncertainty_score":0.9999913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05349199061950181,"score_gpt":0.3498553605996462,"score_spread":0.2963633699801443,"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."}}