{"id":"W4401945411","doi":"10.1101/2024.08.26.609632","title":"Transplantation of bioengineered lung using decellularized mouse lungs and primary human endothelial cells","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"","keywords":"Decellularization; Transplantation; Human lung; Lung transplantation; Lung; Primary (astronomy); Pathology; Medicine; Cell biology; Tissue engineering; Biology; Biomedical engineering; Internal medicine","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":[0.0006389289,0.0004831785,0.0002146504,0.0004501802,0.0001550595,0.0004223726,0.0003595397,0.0005050448,0.001588352],"category_scores_gemma":[0.0001321038,0.0001819708,0.0005156762,0.0002788486,0.0002173073,0.0002534503,0.0002220142,0.0007493643,0.0006595216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002213824,"about_ca_system_score_gemma":0.0003659535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005238408,"about_ca_topic_score_gemma":0.0006800311,"domain_scores_codex":[0.9997495,0.00002944563,0.00004740521,0.00006441393,0.00006726084,0.00004197951],"domain_scores_gemma":[0.9998209,0.00003328684,0.00004551968,0.00004269723,0.00002831831,0.00002926609],"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":[0.00006977115,0.00008431937,0.0001487695,0.00006114243,0.000007836195,0.0001086048,0.00001964043,0.0001941706,0.9962359,0.0003782574,0.0001108802,0.002580691],"study_design_scores_gemma":[0.00001307258,0.0002662772,0.0007479306,0.0000143642,0.00001308431,0.0001825115,0.00001072683,0.00070947,0.9941089,0.00004394434,0.003885627,0.00000416108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8713289,0.007469445,0.1068279,0.0003009998,0.0008522077,0.000534598,0.002357198,0.001335916,0.008992719],"genre_scores_gemma":[0.9097483,0.004381393,0.06823519,0.0003120638,0.00007967806,0.000597838,0.003436805,0.0001380213,0.01307062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001588352,"threshold_uncertainty_score":0.005313516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185497988950146,"score_gpt":0.2308490395438644,"score_spread":0.2189940596543629,"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."}}