{"id":"W2158646788","doi":"10.1111/ajt.13124","title":"Lung Transplantation With Donation After Circulatory Determination of Death Donors and the Impact of Ex Vivo Lung Perfusion","year":2015,"lang":"en","type":"article","venue":"American Journal of Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":148,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"American Society of Transplantation","keywords":"Medicine; Lung transplantation; Transplantation; Context (archaeology); Mechanical ventilation; Donation; Organ donation; Extracorporeal; Lung; Extracorporeal membrane oxygenation; Ex vivo; Surgery; Anesthesia; Internal medicine; In vivo","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":[0.003716934,0.000331308,0.0008003978,0.0004261855,0.0004809826,0.00232381,0.0006217752,0.0005782031,0.001978885],"category_scores_gemma":[0.003220273,0.0001488873,0.0003796299,0.000444478,0.001370714,0.00102126,0.0008151326,0.001125268,0.0001843884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004952104,"about_ca_system_score_gemma":0.0007949027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004412298,"about_ca_topic_score_gemma":0.0004694392,"domain_scores_codex":[0.9981788,0.00113066,0.00007703366,0.0001763195,0.0002749625,0.0001621808],"domain_scores_gemma":[0.9972599,0.001248994,0.0004845346,0.0003825998,0.0003103477,0.0003135984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.07910556,0.0120312,0.580342,0.00130552,0.000573918,0.003396592,0.002217557,0.003521557,0.1013507,0.004427844,0.00116509,0.2105624],"study_design_scores_gemma":[0.001482633,0.0596584,0.7599478,0.0007551085,0.001956784,0.01196179,0.005927426,0.01609761,0.1281965,0.00665699,0.007140199,0.0002187546],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948627,0.002538312,0.00119949,0.0001277865,0.00008496066,0.00004029122,0.0000716134,0.00000937046,0.001065491],"genre_scores_gemma":[0.9980439,0.000748882,0.000671079,0.00006453066,0.00005729649,0.00003239457,0.0001179352,0.000004732467,0.0002591095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003716934,"threshold_uncertainty_score":0.01965725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228707419711016,"score_gpt":0.3086949785999386,"score_spread":0.2964079044028284,"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."}}