{"id":"W3094853584","doi":"10.1016/j.xkme.2020.09.004","title":"The Kidney Failure Risk Equation for Prediction of Allograft Loss in Kidney Transplant Recipients","year":2020,"lang":"en","type":"article","venue":"Kidney Medicine","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Kidney transplantation; Renal function; Dialysis; Kidney disease; Creatinine; Urology; Internal medicine; Kidney; Incidence (geometry); Transplantation; Surgery","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":[0.006687917,0.0009514033,0.0008864161,0.0017554,0.0002837951,0.0008189119,0.000965617,0.0006390793,0.002572738],"category_scores_gemma":[0.01746131,0.0002753857,0.001283084,0.0007284467,0.0001790548,0.0006404174,0.000883016,0.001330907,0.0005829184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000602006,"about_ca_system_score_gemma":0.001102713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005096052,"about_ca_topic_score_gemma":0.002898422,"domain_scores_codex":[0.9971567,0.001485202,0.0002489664,0.0002886436,0.0007139802,0.0001066159],"domain_scores_gemma":[0.9953699,0.002519527,0.0009077229,0.0004177371,0.0006572329,0.0001279449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001174867,0.0004385299,0.8921462,0.0002158871,0.001322105,0.00009842164,0.0001036431,0.02037017,0.0003730013,0.002600652,0.007515923,0.07364053],"study_design_scores_gemma":[0.0007943188,0.001082366,0.6616241,0.0006765996,0.001244837,0.001024822,0.0001558139,0.3122447,0.001048732,0.007867961,0.01211655,0.0001190704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7038832,0.008204841,0.2519802,0.00452546,0.0006141842,0.002224246,0.01806629,0.001216311,0.009285149],"genre_scores_gemma":[0.9343718,0.001182178,0.05527539,0.0004341758,0.0001760606,0.001055419,0.005949716,0.00005256708,0.001502559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006687917,"threshold_uncertainty_score":0.03536958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03552307063155211,"score_gpt":0.2882085108263194,"score_spread":0.2526854401947673,"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."}}