{"id":"W2061574741","doi":"10.1111/j.1399-0012.2004.00201.x","title":"Can the outcome of older donor kidneys in transplantation be predicted? An analysis of existing scoring systems","year":2004,"lang":"en","type":"article","venue":"Clinical Transplantation","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Medicine; Kidney transplantation; Renal function; Transplantation; Kidney; Machine perfusion; Creatinine; Receiver operating characteristic; Urology; Surgery; Intensive care medicine; Internal medicine; Liver transplantation","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":[0.0007662939,0.0001930203,0.0007849432,0.0003767452,0.00005899449,0.00001383279,0.0001077354,0.0001558613,0.00001747947],"category_scores_gemma":[0.00004952628,0.0001369169,0.0003446758,0.0008328666,0.0001347565,0.0001504874,0.000002486411,0.0002265985,7.037716e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005606507,"about_ca_system_score_gemma":0.00009097873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002156619,"about_ca_topic_score_gemma":0.001116311,"domain_scores_codex":[0.9970711,0.0002033559,0.001736724,0.0003457938,0.0004337944,0.0002092139],"domain_scores_gemma":[0.9984941,0.0005374012,0.0004011941,0.0002927143,0.0001288737,0.0001457481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007324155,0.0005120324,0.9732275,0.001495361,0.0007999171,0.0001238208,0.002662973,0.01808929,0.0005044219,0.001531638,1.533325e-7,0.0003204671],"study_design_scores_gemma":[0.00637535,0.0003767179,0.9828493,0.001001968,0.005341222,0.00004439403,0.0003548027,0.001953461,0.001540134,0.00003982339,0.00000195743,0.0001208598],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873968,0.00004267679,0.01040382,0.0002753661,0.0002119185,0.0006669392,0.000639454,0.00003333693,0.0003297042],"genre_scores_gemma":[0.9964067,0.0008446438,0.0009760942,0.0001242661,0.00004541327,0.00003219882,0.001526964,0.00001888587,0.00002480424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01613583,"threshold_uncertainty_score":0.5583308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1417112409979656,"score_gpt":0.4242064304464662,"score_spread":0.2824951894485006,"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."}}