{"id":"W3088081385","doi":"10.2215/cjn.03780320","title":"A RAND-Modified Delphi on Key Indicators to Measure the Efficiency of Living Kidney Donor Candidate Evaluations","year":2020,"lang":"en","type":"article","venue":"Clinical Journal of the American Society of Nephrology","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; Dalhousie University; Ottawa Hospital; University Health Network; Centre Hospitalier de l’Université de Montréal; Saskatchewan Health Authority; University of Calgary; St. Michael's Hospital; Western University; Chronic Disease Prevention Alliance of Canada; McMaster University; London Health Sciences Centre; Cancer Care Ontario","funders":"Canadian Institutes of Health Research; Astellas Pharma; Kidney Foundation of Canada","keywords":"Medicine; Delphi method; Kidney transplantation; Set (abstract data type); Health care; Kidney transplant; Family medicine; Transplantation; Computer science; Surgery","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2253674,0.001629434,0.001615867,0.009268447,0.00338687,0.003241128,0.00207971,0.001613561,0.00417956],"category_scores_gemma":[0.2257381,0.001099149,0.003553232,0.006187599,0.006450764,0.005384233,0.01027019,0.002240679,0.000603441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01110397,"about_ca_system_score_gemma":0.01692187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003677387,"about_ca_topic_score_gemma":0.003365352,"domain_scores_codex":[0.6827526,0.2662151,0.02585766,0.004016846,0.01657923,0.004578574],"domain_scores_gemma":[0.8018638,0.1326589,0.01463391,0.01007642,0.03799465,0.002772256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.003871276,0.001614198,0.1267297,0.01105694,0.0011326,0.0005649996,0.1476246,0.03025255,0.005375213,0.08175628,0.02562108,0.5644006],"study_design_scores_gemma":[0.002804701,0.01196997,0.2873227,0.01040779,0.001031224,0.001702424,0.2521559,0.1280974,0.01458214,0.1461738,0.1414501,0.002302011],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.499321,0.001395328,0.34948,0.006990402,0.0003845333,0.0815185,0.002449742,0.0006249338,0.05783558],"genre_scores_gemma":[0.5727214,0.0005108143,0.365716,0.0005820852,0.00004401042,0.05842833,0.000874289,0.00007352863,0.001049516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2253674,"threshold_uncertainty_score":0.95526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05904102396635336,"score_gpt":0.3779960097938634,"score_spread":0.3189549858275101,"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."}}