{"id":"W3176901754","doi":"10.1002/anbr.202100047","title":"A New Role for Extracellular Vesicles in Cardiac Tissue Engineering and Regenerative Medicine","year":2021,"lang":"en","type":"article","venue":"Advanced NanoBiomed Research","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Canada Research Chairs; University of Toronto; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Canadian Institutes of Health Research; National Heart, Lung, and Blood Institute; Killam Trusts; Canada Excellence Research Chairs, Government of Canada","keywords":"Regenerative medicine; Extracellular vesicles; Disease; Cardiovascular physiology; Neuroscience; Microvesicles; Cell biology; Bioinformatics; Medicine; Biology; Computational biology; Pathology; Stem cell; Internal medicine; microRNA; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006551915,0.0001584552,0.0002294277,0.0001564203,0.00008734971,0.00002260489,0.0001699642,0.0001389952,0.0000174551],"category_scores_gemma":[0.0008183655,0.0001608401,0.00004690786,0.0004445687,0.0001321474,0.00001053966,0.0001779363,0.0001677327,0.000003284095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004054053,"about_ca_system_score_gemma":0.0002125415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001617904,"about_ca_topic_score_gemma":0.00001990395,"domain_scores_codex":[0.9983002,0.0001548624,0.0002341481,0.000574183,0.0002456203,0.0004909872],"domain_scores_gemma":[0.9989718,0.0001340665,0.00003191079,0.0004176303,0.0002101793,0.0002344733],"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":[0.00009307722,0.00003251818,0.0001048915,0.00005938562,0.00002838135,0.00003738219,0.0001489874,0.0001094851,0.9720932,0.0005433248,0.0007632604,0.02598612],"study_design_scores_gemma":[0.001054401,0.0002163533,0.0002332971,0.00006150614,0.000007392774,0.000006744565,0.0003369558,0.0001670796,0.8833202,0.0005791332,0.1138579,0.0001590448],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8504329,0.1390007,0.008355961,0.0009497759,0.0002005665,0.0007904952,0.00003955749,0.00001967908,0.0002103134],"genre_scores_gemma":[0.9516275,0.002454973,0.0350057,0.00003828738,0.0006764865,0.00024209,0.0003613277,0.00008395713,0.009509717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1365458,"threshold_uncertainty_score":0.6558871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01819126623136463,"score_gpt":0.3330755001571979,"score_spread":0.3148842339258333,"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."}}