{"id":"W2801834330","doi":"10.1097/mot.0000000000000524","title":"Ex-vivo machine perfusion for kidney preservation","year":2018,"lang":"en","type":"review","venue":"Current Opinion in Organ Transplantation","topic":"Organ Transplantation Techniques and Outcomes","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital","funders":"","keywords":"Machine perfusion; Ex vivo; Perfusion; Medicine; Kidney; Transplantation; In vivo; Kidney transplantation; Surgery; Radiology; Internal medicine; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004352402,0.0005798754,0.001278493,0.0007228433,0.0001225907,0.00004764379,0.0002297205,0.0004662118,0.0003569124],"category_scores_gemma":[0.00008397328,0.0004969605,0.000469324,0.0005768096,0.00006343747,0.0002671825,0.00001557935,0.000460287,0.00006869518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002171734,"about_ca_system_score_gemma":0.0004539643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001444968,"about_ca_topic_score_gemma":0.000006639412,"domain_scores_codex":[0.9970884,0.0001349449,0.001235147,0.0007130009,0.0004015337,0.0004269515],"domain_scores_gemma":[0.9985792,0.0002040176,0.0004248422,0.0003906824,0.0001764206,0.0002248542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004658815,0.0004643238,0.001264134,0.6423022,0.00009727897,0.000005590494,0.0008043101,4.09918e-7,0.00001472428,0.000747712,0.0125369,0.3412966],"study_design_scores_gemma":[0.002215043,0.000294613,0.0002351017,0.05383913,0.001275231,0.0001060253,0.000007187039,0.0000677654,0.0001687746,0.00008041873,0.9412135,0.0004971833],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001692804,0.970935,0.01858244,0.000207174,0.003958793,0.004228528,0.001682748,0.0002690756,0.0001193138],"genre_scores_gemma":[0.00001282809,0.9756203,0.001555532,0.00005475991,0.0009790785,0.0003307286,0.02111377,0.0001334403,0.000199616],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9286766,"threshold_uncertainty_score":0.9997482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1108128733753399,"score_gpt":0.4227481166008504,"score_spread":0.3119352432255105,"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."}}