{"id":"W2074887602","doi":"10.1016/j.thorsurg.2009.02.006","title":"Update on Donor Assessment, Resuscitation, and Acceptance Criteria, Including Novel Techniques—Non–Heart-Beating Donor Lung Retrieval and Ex Vivo Donor Lung Perfusion","year":2009,"lang":"en","type":"review","venue":"Thoracic surgery clinics/Thorac. surg. clin.","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital","funders":"","keywords":"Medicine; Lung; Economic shortage; Ex vivo; Lung transplantation; Resuscitation; Perfusion; Intensive care medicine; Surgery; Cardiology; In vivo; Internal medicine","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","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.01802035,0.001834781,0.006900226,0.001730967,0.000918766,0.0005595153,0.000439163,0.001693533,0.0002295984],"category_scores_gemma":[0.003246371,0.001620905,0.001428401,0.001769136,0.0003754502,0.0008640453,0.0002981492,0.002760122,0.00002066429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004834727,"about_ca_system_score_gemma":0.001343137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000454881,"about_ca_topic_score_gemma":0.00001896083,"domain_scores_codex":[0.9871435,0.00241402,0.005240851,0.002641846,0.001192237,0.001367588],"domain_scores_gemma":[0.9762301,0.01778959,0.002914862,0.001545321,0.0006917652,0.0008282925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001761434,0.0003753434,0.016813,0.02100454,0.0003519688,0.0002385642,0.0002207375,8.045657e-7,0.0002500785,0.00005587054,0.002075488,0.9568522],"study_design_scores_gemma":[0.002729542,0.001015724,0.03227201,0.1458657,0.01253738,0.001259991,0.0004721676,0.00144655,0.0009023599,0.0003256621,0.7951535,0.006019414],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.06149432,0.9112522,0.01025049,0.001500109,0.004604619,0.007021022,0.0009464422,0.001128123,0.001802661],"genre_scores_gemma":[0.002288188,0.9183749,0.07399962,0.001251239,0.001979348,0.0001498653,0.001003998,0.0003678724,0.0005849904],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9508328,"threshold_uncertainty_score":0.9996025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1290002622244822,"score_gpt":0.49173044594183,"score_spread":0.3627301837173478,"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."}}