{"id":"W2893063523","doi":"10.1111/ajt.15127","title":"Organ donor management and delayed graft function in kidney transplant recipients: A multicenter retrospective cohort study","year":2018,"lang":"en","type":"article","venue":"American Journal of Transplantation","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; Centre Hospitalier Universitaire de Sherbrooke; Hôpital du Sacré-Cœur de Montréal; Hôpital Maisonneuve-Rosemont; Centre hospitalier universitaire de Québec; Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Donation and Transplantation Research Program","keywords":"Medicine; Machine perfusion; Odds ratio; Incidence (geometry); Kidney transplantation; Perfusion; Confidence interval; Urology; Retrospective cohort study; Internal medicine; Transplantation; Cohort; Surgery; Liver transplantation","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":[],"consensus_categories":[],"category_scores_codex":[0.0009448045,0.0004561056,0.0006328968,0.0006640789,0.0008156858,0.00129823,0.0006691741,0.0007693974,0.00161624],"category_scores_gemma":[0.001593792,0.0006497737,0.000997637,0.00123405,0.0004240678,0.001288559,0.000811439,0.001055367,0.0002606838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000451378,"about_ca_system_score_gemma":0.0006480569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002814923,"about_ca_topic_score_gemma":0.00320325,"domain_scores_codex":[0.9992813,0.000167202,0.00008379523,0.00022585,0.00008230977,0.0001596111],"domain_scores_gemma":[0.9984509,0.0001803893,0.0006742239,0.0002308691,0.00009987993,0.0003636884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002674544,0.00007221906,0.9987307,0.000005108218,0.0001138886,0.0001429197,0.00005789047,0.0000194443,0.0001979577,0.00002037164,0.00005647247,0.0003155729],"study_design_scores_gemma":[0.00004220046,0.0002801267,0.9973416,0.000008971981,0.0001582252,0.0009893734,0.0006553672,0.0001924524,0.00009118664,0.00004023675,0.0001879435,0.0000123847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995521,0.0001492733,0.00004916789,0.00002444711,0.000005854507,0.000003999527,0.0001207395,0.000001331701,0.00009311678],"genre_scores_gemma":[0.9995383,0.00009174149,0.00004969405,0.00002407738,0.00001385597,0.000005215637,0.0002035044,0.000002087233,0.00007157663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002814923,"threshold_uncertainty_score":0.005597115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005674288359210822,"score_gpt":0.2504955947128428,"score_spread":0.2448213063536319,"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."}}