{"id":"W2964605637","doi":"10.3390/ijms20153722","title":"A Low Molecular Weight Hyaluronic Acid Derivative Accelerates Excisional Wound Healing by Modulating Pro-Inflammation, Promoting Epithelialization and Neovascularization, and Remodeling Collagen","year":2019,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Fundamental Research Funds for the Central Universities; People's Government of Jilin Province; Department of Science and Technology of Jilin Province; Education Department of Jilin Province; National Natural Science Foundation of China; Jilin Province Development and Reform Commission","keywords":"Hyaluronic acid; Wound healing; Neovascularization; Inflammation; Angiogenesis; Chemistry; Medicine; Pharmacology; Cancer research; Surgery; Internal medicine; Anatomy","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":[0.0001048846,0.0002183528,0.0001212709,0.0001345086,0.00007843767,0.0001468051,0.0001179547,0.0001593258,0.0007342541],"category_scores_gemma":[0.00006922256,0.00006124569,0.0001227376,0.0001715589,0.000133064,0.0001557263,0.0001268786,0.0003002466,0.0001845544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001203853,"about_ca_system_score_gemma":0.0001521282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002523594,"about_ca_topic_score_gemma":0.0005134112,"domain_scores_codex":[0.9999382,0.00001252092,0.000005940105,0.0000109613,0.00002334053,0.000008995436],"domain_scores_gemma":[0.9999524,0.000006027959,0.00001908573,0.000006003067,0.000005708442,0.00001069282],"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":[0.00004468038,0.00002551073,0.000080237,0.00004197709,0.000002189078,0.00001257327,0.00000297764,0.00003464668,0.9969444,0.00004419418,0.00001077736,0.002755927],"study_design_scores_gemma":[0.00001032235,0.0007248675,0.002251586,0.000005511771,0.00001202307,0.0001555184,0.000007508558,0.0002087021,0.9941958,0.00002087808,0.002404217,0.000003233348],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844614,0.008089487,0.005075202,0.000114371,0.00002827744,0.00006159872,0.0001634391,0.0000413075,0.001964872],"genre_scores_gemma":[0.9902834,0.003468558,0.004051359,0.00004238667,0.0000124632,0.00001889945,0.0001425177,0.00000560949,0.001974782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007342541,"threshold_uncertainty_score":0.002456248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279607464056554,"score_gpt":0.2883939936030808,"score_spread":0.2755979189625153,"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."}}