{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001709628,0.0005309774,0.00073576,0.0007603344,0.0005589254,0.002738432,0.000730597,0.002412771,0.00495067],"category_scores_gemma":[0.001147582,0.0002421652,0.000581763,0.0004539618,0.002660833,0.004677629,0.001847224,0.003654918,0.001457553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009342119,"about_ca_system_score_gemma":0.0009454385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002631756,"about_ca_topic_score_gemma":0.0004201837,"domain_scores_codex":[0.9993956,0.0002077374,0.00003605961,0.0001235927,0.0001694131,0.00006759862],"domain_scores_gemma":[0.9991055,0.0004111654,0.00007377768,0.0000673865,0.0001600255,0.0001820672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003244881,0.0001585913,0.0006023015,0.002379681,0.00007440647,0.0008367649,0.0006325754,0.001154061,0.06837766,0.5204164,0.04608773,0.3589554],"study_design_scores_gemma":[0.00004318927,0.0003138593,0.00057625,0.0006852057,0.00002977305,0.001017763,0.0002981973,0.0009658436,0.01436319,0.08446342,0.8971918,0.00005151568],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01172586,0.8801945,0.03258373,0.04703493,0.005862855,0.00004452082,0.0002202,0.0002267293,0.02210674],"genre_scores_gemma":[0.1625744,0.760272,0.0319819,0.01590949,0.006646617,0.0001702944,0.0002991352,0.0001535806,0.02199255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00495067,"threshold_uncertainty_score":0.01656163,"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."}}