{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003239111,0.0000759493,0.0001569431,0.00002725333,0.00007470494,0.00001538824,0.00004677214,0.00009336515,0.00005175392],"category_scores_gemma":[0.0005429855,0.00004250233,0.00007790166,0.00006199194,0.00009820051,0.00002550926,0.000006178272,0.0001205978,0.000001439558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002422537,"about_ca_system_score_gemma":0.0002841647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002603779,"about_ca_topic_score_gemma":0.00005035604,"domain_scores_codex":[0.9988851,0.00002857786,0.0002496589,0.0001586553,0.0005505691,0.0001274636],"domain_scores_gemma":[0.9987441,0.0008057941,0.0000206557,0.00007407175,0.00005715017,0.0002982728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006122115,0.00006322018,0.09903722,0.01182456,0.0003141751,0.001245018,0.006128951,3.484217e-7,0.000172314,0.003602314,0.0002011407,0.8767985],"study_design_scores_gemma":[0.07043732,0.007699193,0.4909082,0.1260638,0.008374306,0.01315138,0.01835425,0.1622788,0.0375587,0.002935529,0.06020297,0.002035555],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834319,0.0039272,0.004139555,0.006056676,0.0004091618,0.0005707738,0.0001406203,0.00007170484,0.001252359],"genre_scores_gemma":[0.9980631,0.00101818,0.0002171658,0.0004162522,0.00008355096,0.00003424762,0.0001256054,0.000009342572,0.00003251755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.874763,"threshold_uncertainty_score":0.1733195,"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."}}