{"id":"W4402177726","doi":"10.1088/1758-5090/ad76d9","title":"Endothelial extracellular vesicles enhance vascular self-assembly in engineered human cardiac tissues","year":2024,"lang":"en","type":"article","venue":"Biofabrication","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network; Canada Research Chairs","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health; Hospital for Sick Children; University Health Network; University of Toronto; Canada Foundation for Innovation; Canada Research Chairs; National Heart, Lung, and Blood Institute; Killam Trusts; Heart and Stroke Foundation of Canada","keywords":"Extracellular vesicles; Extracellular; Materials science; Vesicle; Cell biology; Tissue engineering; Biomedical engineering; Nanotechnology; Medicine; Chemistry; Biology; Biochemistry; Membrane","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":[0.0003010354,0.0002362984,0.0001745433,0.0001600185,0.00009594025,0.0003811475,0.0001357366,0.0003440313,0.0005096346],"category_scores_gemma":[0.0002153065,0.0001506171,0.0002438256,0.00008069408,0.000110504,0.0002632514,0.0003426862,0.0002852206,0.0002160479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001722595,"about_ca_system_score_gemma":0.0001210494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001604981,"about_ca_topic_score_gemma":0.0002758161,"domain_scores_codex":[0.9998409,0.00004229637,0.00001268099,0.00003012454,0.00003928725,0.00003473495],"domain_scores_gemma":[0.9998745,0.00003126109,0.00004061947,0.000009327975,0.00001780089,0.00002648948],"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":[0.00003361949,0.00001863115,0.0001061786,0.00004045666,0.000008022807,0.00007554133,0.00002506431,0.0003852026,0.9970508,0.0002072601,0.00004282086,0.002006551],"study_design_scores_gemma":[0.000009797301,0.0001213682,0.0009355312,0.000007785208,0.00001382211,0.0001404192,0.00001370476,0.002357058,0.9935509,0.00004130135,0.002803128,0.000005200082],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977495,0.001907855,0.01805567,0.00009103237,0.00005681441,0.0000649054,0.000133219,0.0001685748,0.002026844],"genre_scores_gemma":[0.9900398,0.0005801675,0.007919055,0.00006070586,0.000009663489,0.00003300712,0.0001004585,0.00003135662,0.001225889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005096346,"threshold_uncertainty_score":0.001704872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00653631894522692,"score_gpt":0.2578923704768695,"score_spread":0.2513560515316426,"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."}}