{"id":"W3014865775","doi":"10.1016/j.healun.2020.01.1277","title":"Developing Universal Blood Type Donor Lungs Using Ex Vivo ABO Enzymatic Treatment","year":2020,"lang":"en","type":"article","venue":"The Journal of Heart and Lung Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University Health Network","funders":"","keywords":"ABO blood group system; Antigen; CD31; Lung; Perfusion; Ex vivo; In vivo; Pathology; Immunohistochemistry; Transplantation; Medicine; Immunology; Chemistry; Biology; In vitro; Internal medicine; Biochemistry","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":[0.001204928,0.0003047678,0.000338737,0.0002960847,0.0002451677,0.001001768,0.000459177,0.0003968214,0.001622163],"category_scores_gemma":[0.0004434437,0.0001594276,0.0004388322,0.0001752493,0.0003629362,0.0006511699,0.0007573153,0.0007140661,0.0004665146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001731986,"about_ca_system_score_gemma":0.0003835981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001371646,"about_ca_topic_score_gemma":0.0002955125,"domain_scores_codex":[0.9995986,0.00009166927,0.0000381765,0.00007920931,0.0001297374,0.00006267974],"domain_scores_gemma":[0.9997316,0.00004927013,0.00006942241,0.00005343293,0.00004736735,0.00004893326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001893124,0.0002348369,0.002148282,0.0002645408,0.0000364079,0.0002419404,0.000106405,0.0004809068,0.9585823,0.002098297,0.0002803252,0.03533625],"study_design_scores_gemma":[0.00002813978,0.0005267382,0.002330275,0.00003339359,0.00006543018,0.0007270783,0.000103237,0.001929924,0.9857614,0.0003502037,0.008134023,0.00001022032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8302496,0.009351645,0.1505233,0.0003027218,0.0004337656,0.00047313,0.0002786516,0.0004058482,0.007981333],"genre_scores_gemma":[0.9365171,0.002894619,0.05521291,0.0002141128,0.00004915543,0.0001799388,0.0003679753,0.00005085988,0.004513394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001622163,"threshold_uncertainty_score":0.006372333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05591551521125065,"score_gpt":0.3309006686744649,"score_spread":0.2749851534632142,"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."}}