{"id":"W3183806681","doi":"10.1016/j.healun.2021.07.005","title":"Consensus document for the selection of lung transplant candidates: An update from the International Society for Heart and Lung Transplantation","year":2021,"lang":"en","type":"article","venue":"The Journal of Heart and Lung Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":752,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; SickKids Foundation; University of Toronto","funders":"National Heart, Lung, and Blood Institute; Health Resources and Services Administration; Lung Foundation Netherlands; Boomer Esiason Foundation; ZonMw; Savara Pharmaceuticals; European Respiratory Society; Bristol-Myers Squibb; Astellas Pharma; United Therapeutics Corporation; Cystic Fibrosis Foundation; Galecto; Vertex Pharmaceuticals; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Lung; Selection (genetic algorithm); Lung transplantation; Transplantation; Medicine; Intensive care medicine; Internal medicine; Computer science; Artificial intelligence","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":[0.0855729,0.001787694,0.003882038,0.007556651,0.003577657,0.007729809,0.008059155,0.01573371,0.006001018],"category_scores_gemma":[0.1322036,0.00150304,0.005735563,0.005414282,0.003245894,0.006106596,0.007244551,0.02339174,0.007504843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008088453,"about_ca_system_score_gemma":0.04621954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01111094,"about_ca_topic_score_gemma":0.01504786,"domain_scores_codex":[0.9356524,0.01861757,0.01941025,0.001804397,0.02222906,0.002286399],"domain_scores_gemma":[0.7921795,0.04194487,0.0129203,0.004588741,0.1351697,0.01319687],"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":[0.00003486492,0.0001208645,0.00103029,0.001902895,0.00006799048,0.0002743044,0.000424259,0.0005026776,0.0002551079,0.003743577,0.8573895,0.1342537],"study_design_scores_gemma":[0.00006538242,0.00006127541,0.001553726,0.01078451,0.0001286989,0.00073404,0.0005340682,0.0003520535,0.0002764905,0.003912411,0.9815112,0.00008617501],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.001538552,0.07406396,0.01995108,0.7600009,0.1116091,0.001779729,0.001987414,0.0005597245,0.0285095],"genre_scores_gemma":[0.02350331,0.2570676,0.202382,0.3687696,0.07121862,0.008181771,0.02032785,0.00106226,0.04748707],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0855729,"threshold_uncertainty_score":0.4525582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781539634280892,"score_gpt":0.3265217022013659,"score_spread":0.308706305858557,"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."}}