{"id":"W3134794479","doi":"10.1097/tp.0000000000003718","title":"Risk Prediction for Delayed Allograft Function: Analysis of the Deterioration of Kidney Allograft Function (DeKAF) Study Data.","year":2022,"lang":"en","type":"article","venue":"PubMed","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Allergy and Infectious Diseases; U.S. Department of Veterans Affairs","keywords":"Medicine; Population; Dialysis; Calculator; Prospective cohort study; Cohort; Surgery; Intensive care medicine; Internal medicine; Computer science","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":[0.008370652,0.0005116516,0.0007779447,0.001727397,0.0002377631,0.001127132,0.001066167,0.0004718166,0.001424612],"category_scores_gemma":[0.008931951,0.0002690656,0.001243328,0.001931986,0.0002468457,0.0007818171,0.001237824,0.0009247794,0.0004263562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005929996,"about_ca_system_score_gemma":0.0007805943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005326285,"about_ca_topic_score_gemma":0.004920245,"domain_scores_codex":[0.997748,0.000975811,0.0003007337,0.0005003581,0.000330314,0.0001448413],"domain_scores_gemma":[0.9894806,0.002634002,0.004152127,0.001802298,0.0009250821,0.001005856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001500773,0.00002364311,0.9949738,0.00006075745,0.000413049,0.00003924465,0.00003446679,0.0002244255,0.00006542157,0.00005407101,0.0006877874,0.001922541],"study_design_scores_gemma":[0.0002891669,0.0003081085,0.9952389,0.00005624354,0.0005133082,0.0002493388,0.0001043911,0.001464671,0.0001230405,0.0001046162,0.001531306,0.00001692202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834326,0.001104738,0.0008829124,0.0001370481,0.00003331174,0.00009903679,0.01303485,0.00003414434,0.001241487],"genre_scores_gemma":[0.9792889,0.0002347633,0.001019754,0.0000861231,0.00003875447,0.0001223233,0.01884343,0.00002886904,0.0003371988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008370652,"threshold_uncertainty_score":0.04426879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02780387548061249,"score_gpt":0.2507657740376403,"score_spread":0.2229618985570278,"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."}}