{"id":"W2512971597","doi":"10.5772/62449","title":"Ex-Vivo Lung Perfusion: From Bench to Bedside","year":2016,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian VIGOUR Centre; Alberta Biodiversity Monitoring Institute; Canadian Natural Resources; University of Alberta","funders":"Faculty of Medicine and Dentistry, University of Alberta; University of Alberta","keywords":"Lung transplantation; Medicine; Bench to bedside; Transplantation; Intensive care medicine; Ex vivo; Lung; Perfusion; Surgery; Cardiology; In vivo; Internal medicine; Medical physics; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004823409,0.0006182848,0.0005216167,0.0006433547,0.0003780754,0.002338319,0.0009246172,0.0009834981,0.01600409],"category_scores_gemma":[0.0004376036,0.0003712309,0.0003774355,0.0006682698,0.0008688896,0.002283728,0.001159051,0.00239212,0.008057569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005199197,"about_ca_system_score_gemma":0.0005082936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003412788,"about_ca_topic_score_gemma":0.0008756696,"domain_scores_codex":[0.9998019,0.00002171344,0.000007785568,0.00003597512,0.000122169,0.00001042777],"domain_scores_gemma":[0.9998259,0.00008525555,0.000009441523,0.00001745048,0.00004006149,0.00002196556],"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":[0.0001066919,0.0001136186,0.0003419546,0.001906102,0.00001815021,0.0002321165,0.0003856317,0.001222011,0.05148418,0.04459634,0.1247089,0.7748843],"study_design_scores_gemma":[0.00001218829,0.0001415472,0.0007748041,0.000712015,0.00001743389,0.001343603,0.0001099737,0.00140605,0.01827159,0.01828406,0.9588917,0.00003507207],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008642449,0.436331,0.2562112,0.01226912,0.009694897,0.0002805904,0.0008628809,0.002877573,0.2728303],"genre_scores_gemma":[0.03530047,0.3729156,0.1470837,0.007311035,0.004701622,0.0004323774,0.0008747893,0.0009205961,0.4304598],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01600409,"threshold_uncertainty_score":0.05353898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02881222499268355,"score_gpt":0.3087522615384529,"score_spread":0.2799400365457694,"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."}}