{"id":"W4390343095","doi":"10.1002/jex2.131","title":"The diffusion of normal skin wound myofibroblast‐derived microvesicles differs according to matrix composition","year":2023,"lang":"en","type":"article","venue":"Journal of Extracellular Biology","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Centre Hospitalier Universitaire de Québec; Université Laval","keywords":"Microvesicles; Extracellular matrix; Self-healing hydrogels; Myofibroblast; Wound healing; Chemistry; Fibrin; Extracellular vesicles; Type I collagen; Matrix (chemical analysis); Biophysics; Cell biology; Pathology; Biochemistry; Immunology; Biology; Medicine; Polymer chemistry; Fibrosis","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":[0.0001965708,0.0001473168,0.000168063,0.0001720794,0.00009253957,0.0003677883,0.00009937299,0.0001914824,0.0004360436],"category_scores_gemma":[0.000296873,0.0001305818,0.000115098,0.000114775,0.0001516778,0.0003687464,0.0001380569,0.000238006,0.0001014231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002540539,"about_ca_system_score_gemma":0.0001546552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005480917,"about_ca_topic_score_gemma":0.0002865392,"domain_scores_codex":[0.9998851,0.00002383632,0.0000103071,0.00003060425,0.00002323112,0.00002702563],"domain_scores_gemma":[0.9998351,0.00005807371,0.00002871602,0.00001074785,0.00003318826,0.00003417192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007280445,0.000004035785,0.0002884303,0.00001326229,0.000002348998,0.00001279955,0.00001531756,0.00002270695,0.9989777,0.00006794799,0.00000499433,0.0005176901],"study_design_scores_gemma":[0.0000162973,0.0001356368,0.01119089,0.000009631001,0.00001839695,0.0001780802,0.00007491864,0.002413373,0.9848462,0.0001538222,0.000953874,0.000008874974],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961934,0.001055893,0.002242595,0.00002257773,0.000006906212,0.00001063224,0.00007749442,0.00001125858,0.0003792115],"genre_scores_gemma":[0.9966378,0.0006497381,0.001930907,0.0000240564,0.000004051392,0.00002042145,0.0001218953,0.00001254868,0.0005986065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005480917,"threshold_uncertainty_score":0.001843274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007625990983162701,"score_gpt":0.2702259258343123,"score_spread":0.2625999348511496,"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."}}