{"id":"W4382982334","doi":"10.3390/polym15132919","title":"Injectable Lyophilized Chitosan-Thrombin-Platelet-Rich Plasma (CS-FIIa-PRP) Implant to Promote Tissue Regeneration: In Vitro and Ex Vivo Solidification Properties","year":2023,"lang":"en","type":"article","venue":"Polymers","topic":"Tendon Structure and Treatment","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Biomaterial; Ex vivo; Biomedical engineering; Thromboelastography; Chitosan; Platelet-rich plasma; Thrombin; Tissue engineering; Regeneration (biology); Materials science; Platelet; In vivo; Chemistry; In vitro; Medicine; Biochemistry; Immunology; Biotechnology; Cell biology; Biology","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":[0.0003541069,0.0004737807,0.0002202035,0.0004419212,0.0000859358,0.0002535075,0.0002351952,0.0003378348,0.0006500311],"category_scores_gemma":[0.0002769082,0.0001297914,0.0002670506,0.000250569,0.0002389063,0.0002874761,0.0001394608,0.000354848,0.0001344437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001561946,"about_ca_system_score_gemma":0.0002614991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003374543,"about_ca_topic_score_gemma":0.0006002568,"domain_scores_codex":[0.9998633,0.0000174541,0.00001209919,0.00002647499,0.00006145913,0.00001916761],"domain_scores_gemma":[0.9997758,0.00006157454,0.00008019476,0.00001593534,0.00003334373,0.00003308741],"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":[0.0001046802,0.00007154087,0.0001006605,0.00006795954,0.00000752854,0.00004314473,0.00001045748,0.0001135223,0.995914,0.00003313954,0.00001351744,0.003519796],"study_design_scores_gemma":[0.00002255402,0.001733655,0.002784719,0.000007935393,0.00005102107,0.0002214093,0.0000132674,0.00117189,0.9931091,0.00002219407,0.0008538825,0.000008297969],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879009,0.002182689,0.009042612,0.00003764022,0.00004751123,0.00008152004,0.00009438406,0.00008940016,0.0005234514],"genre_scores_gemma":[0.9868291,0.001206074,0.01063292,0.00004430392,0.00001668197,0.00004805065,0.0001220971,0.00002244661,0.001078335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006500311,"threshold_uncertainty_score":0.002174556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02213611914425304,"score_gpt":0.2688603916596458,"score_spread":0.2467242725153927,"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."}}