{"id":"W4396921548","doi":"10.1097/txd.0000000000001629","title":"Expanding Access to High KDPI Kidney Transplant for Recipients Aged 60 y and Older: Cost Utility and Survival","year":2024,"lang":"en","type":"article","venue":"Transplantation Direct","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Research Manitoba; Seven Oaks General Hospital","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Status quo; Quality of life (healthcare); Quality-adjusted life year; Population; Cost–utility analysis; Kidney transplantation; Kidney disease; Kidney; Intensive care medicine; Demography; Internal medicine; Cost effectiveness; Environmental health; Risk analysis (engineering)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002559901,0.0002528196,0.0003872926,0.0002174849,0.0001520264,0.000164742,0.00006241108,0.0000885385,0.00008184581],"category_scores_gemma":[0.00001649659,0.0002074165,0.00009243419,0.000226211,0.00004180916,0.0002788127,0.000004975719,0.000108379,0.000008255258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003737046,"about_ca_system_score_gemma":0.00005448912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001469767,"about_ca_topic_score_gemma":0.00009075837,"domain_scores_codex":[0.9985545,0.00004941485,0.0003313359,0.0005271637,0.0002533001,0.0002842284],"domain_scores_gemma":[0.9990293,0.0003793569,0.0000309944,0.0001272495,0.00004104309,0.0003920035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01373274,0.0006883218,0.8262945,0.02403463,0.002407423,0.002088217,0.02136052,0.00004765421,0.01987745,0.001298176,0.001256837,0.08691353],"study_design_scores_gemma":[0.006477349,0.000285797,0.969717,0.003165314,0.001208675,0.0001897753,0.00004640939,0.0003075203,0.01713103,0.0001039863,0.001029503,0.0003376422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973048,0.0003857848,0.01842784,0.001295222,0.0007532921,0.002120408,0.002436333,0.0002426327,0.001290489],"genre_scores_gemma":[0.9940578,0.002703913,0.000954498,0.000441003,0.00006648364,0.0002059241,0.001141678,0.00003777113,0.0003909412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1434225,"threshold_uncertainty_score":0.8458197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04731476242891698,"score_gpt":0.3531522283770531,"score_spread":0.3058374659481362,"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."}}