{"id":"W3205594830","doi":"10.1007/s10439-021-02872-2","title":"Functionalization of Electrospun Polycaprolactone Scaffolds with Matrix-Binding Osteocyte-Derived Extracellular Vesicles Promotes Osteoblastic Differentiation and Mineralization","year":2021,"lang":"en","type":"article","venue":"Annals of Biomedical Engineering","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"FP7 Ideas: European Research Council; Irish Research Council; Science Foundation Ireland; Irish Research eLibrary","keywords":"Surface modification; Endochondral ossification; Scaffold; Polycaprolactone; Extracellular matrix; Osteocyte; Chemistry; Tissue engineering; Biomedical engineering; Vesicle; Cell adhesion; Materials science; Adhesion; Nanotechnology; Cell biology; Biophysics; Cartilage; Osteoblast; Anatomy; Membrane; In vitro; Polymer; Biochemistry","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":[0.0003120263,0.0005390206,0.0002719222,0.0002742786,0.0001311019,0.000351786,0.0002398332,0.000393763,0.0006969984],"category_scores_gemma":[0.0002571525,0.000229133,0.0003326515,0.0001484123,0.0002356529,0.0003492985,0.0002708471,0.0002759279,0.0002439161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002414344,"about_ca_system_score_gemma":0.0002634427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004872023,"about_ca_topic_score_gemma":0.000883188,"domain_scores_codex":[0.9997463,0.00002693846,0.00003065845,0.00005860279,0.00007551713,0.00006201316],"domain_scores_gemma":[0.9997743,0.00006745548,0.00008378797,0.00001576631,0.00002618868,0.00003244794],"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":[0.00002358382,0.00001094223,0.00003637362,0.0000234848,0.000003091967,0.00002283173,0.000007586493,0.0001027598,0.9992446,0.00002885007,0.000004528279,0.0004914327],"study_design_scores_gemma":[0.000005689551,0.00009183566,0.0006428669,0.000002859121,0.000006548409,0.00002991687,0.0000079296,0.0006542966,0.9981311,0.00001311183,0.0004103839,0.000003516649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990397,0.0009750908,0.007231915,0.00003270617,0.00003155907,0.00005012428,0.000128437,0.00008690036,0.001066273],"genre_scores_gemma":[0.9918267,0.0006206085,0.005775504,0.00003087651,0.00001239703,0.0000623687,0.0002160192,0.00003716158,0.001418384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006969984,"threshold_uncertainty_score":0.002331674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008689032795921854,"score_gpt":0.2342274316026632,"score_spread":0.2255383988067414,"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."}}