{"id":"W4213385349","doi":"10.1126/scitranslmed.abm7190","title":"Ex vivo enzymatic treatment converts blood type A donor lungs into universal blood type lungs","year":2022,"lang":"en","type":"article","venue":"Science Translational Medicine","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services; University Health Network; Toronto General Hospital; University of Toronto; University of Alberta; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"ABO blood group system; Ex vivo; Lung; Medicine; In vivo; Antibody; Lung transplantation; Transplantation; Immunology; Pathology; Andrology; Biology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002621053,0.0002877865,0.0001564684,0.0001224748,0.00007708103,0.0003142528,0.0001815493,0.0002052737,0.001354371],"category_scores_gemma":[0.0001401312,0.000117872,0.0002657274,0.00009895759,0.0001949345,0.0001918915,0.0001508236,0.0004184154,0.0002365493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008883111,"about_ca_system_score_gemma":0.0001129371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001740048,"about_ca_topic_score_gemma":0.0002655081,"domain_scores_codex":[0.9998443,0.00003742874,0.00001517713,0.00004414551,0.00003183678,0.00002710495],"domain_scores_gemma":[0.9999048,0.00002016332,0.00003402971,0.00001936567,0.000007431804,0.00001440444],"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":[0.0001489314,0.00006160047,0.0002841239,0.00002836551,0.00000802598,0.0000529893,0.00001053888,0.00006809434,0.9974213,0.00005772201,0.00002345492,0.001834821],"study_design_scores_gemma":[0.00001350282,0.0008511889,0.00168425,0.000003255117,0.00001119916,0.0002304003,0.00001253269,0.0003241561,0.9957047,0.00001620439,0.001146796,0.000001773081],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890541,0.0009804594,0.008713861,0.00003049327,0.00003644958,0.00005029869,0.0001572715,0.00005975699,0.0009173286],"genre_scores_gemma":[0.9918755,0.0006324269,0.005391098,0.00004625803,0.00001083938,0.00003721896,0.0003550054,0.00001542435,0.001636131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001354371,"threshold_uncertainty_score":0.004530787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0293993468778277,"score_gpt":0.3288898653332686,"score_spread":0.2994905184554409,"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."}}