{"id":"W4390007868","doi":"10.3389/frtra.2023.1323387","title":"Review of machine perfusion studies in vascularized composite allotransplant preservation","year":2023,"lang":"en","type":"article","venue":"Frontiers in Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Machine perfusion; Ex vivo; Perfusion; Limiting; Medicine; Reperfusion injury; Transplantation; Cold storage; Ischemia; Computer science; Surgery; Biomedical engineering; In vivo; Cardiology; Biology; Engineering; Mechanical engineering; Liver transplantation","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":[],"consensus_categories":[],"category_scores_codex":[0.001161391,0.0001781079,0.0006815696,0.0005628974,0.00003369722,0.000003791024,0.00008992704,0.00009280077,0.00001428892],"category_scores_gemma":[0.00005035002,0.0001554122,0.0001343426,0.0009756635,0.00006438134,0.00019339,0.000005235052,0.0001930239,0.000003674066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006383788,"about_ca_system_score_gemma":0.00004212403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001149663,"about_ca_topic_score_gemma":0.00007705169,"domain_scores_codex":[0.9981728,0.0002945266,0.0007337163,0.0002753463,0.0003020106,0.0002216196],"domain_scores_gemma":[0.9993949,0.0001833257,0.0001113193,0.0001792483,0.00008510742,0.0000460866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002828647,0.0002845547,0.7957004,0.1252238,0.0003512871,0.00050169,0.01242524,0.0006140315,0.03795416,0.0002212111,0.0008704222,0.02302456],"study_design_scores_gemma":[0.01029613,0.0002248908,0.9119618,0.05411995,0.000997404,0.0001005777,0.0005259046,0.007384349,0.01261818,0.0007798955,0.0006005869,0.0003903438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6816371,0.1632654,0.1458451,0.002862266,0.00191091,0.0034291,0.0002364981,0.0002819788,0.0005316559],"genre_scores_gemma":[0.1159689,0.7811877,0.09992993,0.0006414709,0.00003413587,0.0001099465,0.001987465,0.00003490261,0.0001055964],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6179222,"threshold_uncertainty_score":0.6337523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05700279835771662,"score_gpt":0.368875050580638,"score_spread":0.3118722522229214,"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."}}