{"id":"W4390699680","doi":"10.1016/j.healun.2024.01.004","title":"A radiographic score for human donor lungs on ex vivo lung perfusion predicts transplant outcomes","year":2024,"lang":"en","type":"article","venue":"The Journal of Heart and Lung Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vector Institute; Toronto General Hospital; Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Radiography; Lung; Perfusion; Ex vivo; Radiology; Nuclear medicine; In vivo; Internal medicine; Biology","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":[0.001835108,0.0005664797,0.0006124037,0.001172277,0.0002591896,0.001859209,0.0005647156,0.00095005,0.002716462],"category_scores_gemma":[0.004185622,0.0001508082,0.0006001624,0.0008586082,0.0007694711,0.0008405205,0.0007452993,0.001076631,0.0004558314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004435822,"about_ca_system_score_gemma":0.0004449266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005712291,"about_ca_topic_score_gemma":0.0007010421,"domain_scores_codex":[0.9991447,0.0002827805,0.0001025671,0.0001112848,0.00024725,0.0001113721],"domain_scores_gemma":[0.995101,0.0008329851,0.002526683,0.0003817612,0.0005198296,0.0006376487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000432801,0.0001500735,0.9904776,0.00002855495,0.0001098125,0.00005984207,0.00003533465,0.000157163,0.002015276,0.00009110219,0.0002010659,0.006241444],"study_design_scores_gemma":[0.00002073883,0.0007571115,0.9945645,0.00002520496,0.0001444785,0.0008260777,0.0001863343,0.001109359,0.001750295,0.0002058648,0.000391397,0.00001863204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994669,0.0008750511,0.001148825,0.0001474363,0.00004552857,0.00002476403,0.0003833395,0.00002907461,0.002676978],"genre_scores_gemma":[0.9988778,0.0001344559,0.0003485727,0.00002375236,0.00002511862,0.00001032302,0.0003025646,0.000004922864,0.0002724647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002716462,"threshold_uncertainty_score":0.009705067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02380803946576572,"score_gpt":0.3312309951652926,"score_spread":0.3074229556995269,"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."}}