{"id":"W3214150197","doi":"10.1016/j.xjtc.2021.11.005","title":"Surgical and logistical concerns for ex vivo–based perfusion strategies for “donation after circulatory death” multiorgan recovery","year":2021,"lang":"en","type":"editorial","venue":"JTCVS Techniques","topic":"Organ Transplantation Techniques and Outcomes","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Donation; Organ donation; Medicine; Circulatory system; Machine perfusion; Ex vivo; Perfusion; Transplantation; Intensive care medicine; Cardiology; Surgery; Liver transplantation; In vivo; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004412619,0.0004547241,0.0008411646,0.0002458629,0.0001124576,0.0001381735,0.0001119393,0.00155224,0.0001476613],"category_scores_gemma":[0.0003892036,0.0004125314,0.0003717321,0.00008807935,0.0001467645,0.0001453854,0.00003414726,0.0004934727,9.964658e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002485825,"about_ca_system_score_gemma":0.0007936383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004007323,"about_ca_topic_score_gemma":0.00002524057,"domain_scores_codex":[0.9977788,0.00006213555,0.0005860068,0.0007266611,0.0005002519,0.0003461793],"domain_scores_gemma":[0.9972423,0.001340221,0.0001973214,0.0003462737,0.0007271691,0.00014666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004132355,0.0004336131,0.001203941,0.01038113,0.0001679734,0.0002897591,0.0001814769,6.525686e-7,0.007488753,0.002959695,0.9667163,0.006044282],"study_design_scores_gemma":[0.002459545,0.001349263,0.0003284064,0.001277204,0.0007771988,0.00002467703,0.00008131981,0.000169226,0.04478491,0.001679258,0.9463745,0.0006944411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"editorial","genre_scores_codex":[0.009590457,0.004723452,0.686958,0.001788261,0.2653237,0.01518623,0.01009173,0.004839846,0.001498332],"genre_scores_gemma":[0.07957229,0.0067774,0.211881,0.0006606382,0.6807868,0.004168805,0.01241937,0.0005546272,0.003179115],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.475077,"threshold_uncertainty_score":0.9998326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02336476706173348,"score_gpt":0.341104125525193,"score_spread":0.3177393584634595,"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."}}