{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004848428,0.0005153858,0.004129443,0.0002348014,0.00006901913,0.000007102465,0.000189835,0.0001817415,0.00004161074],"category_scores_gemma":[0.00005256381,0.0003765316,0.001509386,0.0002339967,0.0005118694,0.0000803615,0.00006271086,0.0005657713,2.166282e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006509209,"about_ca_system_score_gemma":0.0004799489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000083335,"about_ca_topic_score_gemma":2.632458e-7,"domain_scores_codex":[0.9968308,0.0007338513,0.00134743,0.0005473277,0.0002373217,0.0003032843],"domain_scores_gemma":[0.9972751,0.0005116549,0.001410175,0.0002870753,0.00029835,0.0002176481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001202876,0.0003738544,0.00004163971,0.3363056,0.006046506,0.0001384263,0.0008235916,0.00003269392,0.3803101,0.002880735,0.001030706,0.2708132],"study_design_scores_gemma":[0.01387534,0.01858045,0.003061812,0.3432193,0.08663523,0.004246397,0.001255005,0.01555265,0.002444864,0.003746158,0.502974,0.004408794],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0026145,0.9750089,0.0206399,0.0003766789,0.0001624458,0.001044776,0.00009615006,0.00001694027,0.00003971663],"genre_scores_gemma":[0.00380163,0.9675174,0.02752567,0.0006409804,0.0002234708,0.00003441987,0.000184899,0.00005938835,0.00001212356],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5019433,"threshold_uncertainty_score":0.9998687,"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."}}