{"id":"W4376881534","doi":"10.1016/j.bioactmat.2023.05.002","title":"Engineering homologous platelet-rich plasma, platelet-rich plasma-derived exosomes, and mesenchymal stem cell-derived exosomes-based dual-crosslinked hydrogels as bioactive diabetic wound dressings","year":2023,"lang":"en","type":"article","venue":"Bioactive Materials","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; National University's Basic Research Foundation of China; National Natural Science Foundation of China","keywords":"Microvesicles; Mesenchymal stem cell; Self-healing hydrogels; Platelet-rich plasma; Platelet; Wound healing; Chemistry; Materials science; Cell biology; Biomedical engineering; Medicine; Immunology; Polymer chemistry; Biochemistry; microRNA; Biology","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":[0.0001278901,0.0003581658,0.0001422322,0.0001637096,0.00007020913,0.0001959174,0.0001340149,0.0002654028,0.0004219757],"category_scores_gemma":[0.0001069067,0.0001315491,0.0002683567,0.0001284611,0.00009080552,0.0002964863,0.0001844188,0.0002252361,0.0001259764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001200364,"about_ca_system_score_gemma":0.000128815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001095851,"about_ca_topic_score_gemma":0.0002477017,"domain_scores_codex":[0.9999361,0.000007631799,0.000009522815,0.0000141658,0.00001702647,0.00001551725],"domain_scores_gemma":[0.9999309,0.000008188649,0.00003011125,0.000003911938,0.000008195885,0.00001868253],"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":[0.00003593131,0.00001716352,0.0000699523,0.00005886879,0.00000559107,0.00004621863,0.000009460697,0.0001670685,0.9982132,0.00008618209,0.00001930065,0.001271049],"study_design_scores_gemma":[0.0000131171,0.0001348991,0.0006446824,0.000007500188,0.00001822607,0.00008173612,0.00001365097,0.001464228,0.9965903,0.00003334938,0.0009919424,0.000006453529],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891195,0.001763275,0.007529324,0.00004712202,0.00005263634,0.00004781281,0.0001532302,0.00006903955,0.001218059],"genre_scores_gemma":[0.9930588,0.0008325728,0.005099881,0.00003998964,0.000009255261,0.00004536349,0.00008987808,0.00001445216,0.0008098343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004219757,"threshold_uncertainty_score":0.001411617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02189139967854408,"score_gpt":0.2627387456747574,"score_spread":0.2408473459962133,"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."}}