{"id":"W3091179609","doi":"10.1152/ajplung.00295.2020","title":"Ex vivo lung perfusion for donor lung assessment and repair: a review of translational interspecies models","year":2020,"lang":"en","type":"review","venue":"American Journal of Physiology-Lung Cellular and Molecular Physiology","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Lung; Intensive care medicine; Population; Lung transplantation; Translational research; Transplantation; Ex vivo; Bench to bedside; Mindset; Surgery; Pathology; In vivo; Medical physics; Internal medicine; Biology; Computer science; Biotechnology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002236335,0.001091733,0.00211808,0.003904009,0.0003362153,0.001648565,0.001215126,0.001323122,0.003177074],"category_scores_gemma":[0.002370551,0.0004992337,0.001351198,0.002629245,0.0007740253,0.002215018,0.0008679872,0.001889829,0.001375013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007128803,"about_ca_system_score_gemma":0.002008577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001072125,"about_ca_topic_score_gemma":0.001402429,"domain_scores_codex":[0.9994137,0.0001296135,0.0001344666,0.00009730628,0.0001851144,0.00003969354],"domain_scores_gemma":[0.9980501,0.001334528,0.0001967312,0.00005253217,0.0002950023,0.00007106328],"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":[0.0001547007,0.0001612387,0.0003677922,0.06286074,0.0002143511,0.0001915412,0.0001028581,0.0004679805,0.003794604,0.004676872,0.0132104,0.9137969],"study_design_scores_gemma":[0.00003784206,0.0005486213,0.001598105,0.02003031,0.0007142193,0.001752007,0.0001570405,0.0002855854,0.002992864,0.00322115,0.9685858,0.00007638679],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001180085,0.9987929,0.0002812141,0.0001781697,0.0001100168,0.00001161701,0.00002771939,0.000006895186,0.0004733841],"genre_scores_gemma":[0.0005422031,0.9987048,0.0003785772,0.0001112532,0.00008019836,0.00001724329,0.00003619001,0.000002109631,0.0001274126],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003904009,"threshold_uncertainty_score":0.01182699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02421232746914033,"score_gpt":0.3646079952974809,"score_spread":0.3403956678283406,"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."}}