{"id":"W2081672906","doi":"10.1111/ctr.12106","title":"Recipient‐related predictors of kidney transplantation outcomes in the elderly","year":2013,"lang":"en","type":"article","venue":"Clinical Transplantation","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Health Resources and Services Administration","keywords":"Medicine; Dialysis; Transplantation; Kidney transplantation; Diabetes mellitus; Population; Internal medicine; Kidney disease; Surgery; Endocrinology","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":[0.0006783007,0.0001809884,0.0002489124,0.000382941,0.0001793942,0.0003818013,0.000140165,0.0002328555,0.001072214],"category_scores_gemma":[0.001572822,0.00007518731,0.000252325,0.0004199514,0.0001783653,0.0002359825,0.0003083878,0.0003201368,0.0001456881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001119063,"about_ca_system_score_gemma":0.0001808316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001105485,"about_ca_topic_score_gemma":0.001316942,"domain_scores_codex":[0.9998145,0.00004764234,0.00002573619,0.00003096075,0.00003458212,0.00004671257],"domain_scores_gemma":[0.9987354,0.0002072293,0.0005953148,0.00005077627,0.0001158561,0.0002955293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005595287,0.000007210157,0.999113,0.000005007823,0.0000243747,0.00003063097,0.00001191833,0.00003239261,0.00006526666,0.000006925614,0.00003335025,0.0006140478],"study_design_scores_gemma":[0.000002950858,0.00005221574,0.9994556,0.000004668279,0.00003747786,0.0001498228,0.00004096644,0.00009798718,0.00004013555,0.00002626018,0.00009045263,0.000001430189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999023,0.0005101023,0.00004992925,0.00004335724,0.00000688469,0.000001593056,0.0001177053,0.000002240287,0.0002451876],"genre_scores_gemma":[0.9996936,0.0001317469,0.0000175868,0.00001388456,0.00001807588,0.000001004262,0.00008296465,6.744938e-7,0.00004042776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001105485,"threshold_uncertainty_score":0.003587246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03825434917810124,"score_gpt":0.352096602470241,"score_spread":0.3138422532921398,"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."}}