{"id":"W4399767466","doi":"10.1097/mlr.0000000000002028","title":"The Medical Costs of Determining Eligibility and Waiting for a Kidney Transplantation","year":2024,"lang":"en","type":"article","venue":"Medical Care","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health; Minneapolis Medical Research Foundation","keywords":"Medicine; Proxy (statistics); Dialysis; Procurement; Marginal cost; Transplantation; Emergency medicine; Intensive care medicine; Internal medicine; Business","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":[0.001217098,0.0002711673,0.0001576049,0.001054412,0.0003569644,0.001028186,0.0004664188,0.0002951827,0.004067037],"category_scores_gemma":[0.009919152,0.0001694455,0.0005597283,0.001224907,0.0004149636,0.0006510972,0.0008276752,0.0006406231,0.000198998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002645081,"about_ca_system_score_gemma":0.001951356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01206199,"about_ca_topic_score_gemma":0.01478408,"domain_scores_codex":[0.9986259,0.0006383586,0.0001843654,0.00009596026,0.0002805677,0.0001747952],"domain_scores_gemma":[0.9926878,0.003595756,0.002626269,0.0001347903,0.0004249018,0.0005304409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002698825,0.0001915824,0.9380271,0.00009468402,0.0002275612,0.0001819724,0.0001283783,0.01702983,0.0001990148,0.002496898,0.001586343,0.03956673],"study_design_scores_gemma":[0.00003649805,0.0002320529,0.9502151,0.0001681639,0.0001625475,0.0007302764,0.0009922356,0.03986463,0.0004275247,0.004089853,0.003048225,0.0000329623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988295,0.0009507189,0.002608116,0.002241345,0.0000402939,0.00007482762,0.001516057,0.00001740849,0.00425629],"genre_scores_gemma":[0.9977286,0.0002243981,0.001179285,0.00007327324,0.0000313781,0.00002189287,0.0004907302,0.000003008331,0.0002474241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01206199,"threshold_uncertainty_score":0.02398354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01794240694363211,"score_gpt":0.3631948874312023,"score_spread":0.3452524804875702,"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."}}