{"id":"W2963881852","doi":"10.1126/sciadv.aaw3963","title":"Bioinspired mechanically active adhesive dressings to accelerate wound closure","year":2019,"lang":"en","type":"article","venue":"Science Advances","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":533,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Natural Sciences and Engineering Research Council of Canada; National Institute of Dental and Craniofacial Research; Canada Foundation for Innovation; National Institute on Aging; National Institutes of Health; National Science Foundation","keywords":"Adhesive; Wound closure; Closure (psychology); Wound healing; Biomedical engineering; Medicine; Materials science; Surgery; Composite material","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":[0.0001309502,0.0003770981,0.0001325145,0.0002629203,0.0001189564,0.0002562936,0.0002047486,0.0003214295,0.0009926419],"category_scores_gemma":[0.0001815583,0.0001306502,0.0001840804,0.0001157159,0.0001392903,0.0002684897,0.0002350406,0.0005510293,0.0003078238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001057893,"about_ca_system_score_gemma":0.00009032259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008095783,"about_ca_topic_score_gemma":0.0002333453,"domain_scores_codex":[0.9999132,0.00000998885,0.000006637885,0.00001584136,0.0000407309,0.00001354345],"domain_scores_gemma":[0.9998925,0.00001868724,0.00004667128,0.000007905512,0.0000122949,0.0000219117],"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":[0.00001103428,0.00002703327,0.00006419596,0.00009250859,0.000004313628,0.00009890443,0.00001358427,0.00014738,0.9912646,0.000532056,0.0001763815,0.007567986],"study_design_scores_gemma":[0.00001043401,0.0002793984,0.0007449164,0.00002160555,0.00001421683,0.0003905019,0.00001470486,0.002118435,0.9842834,0.0002525606,0.01185829,0.00001142306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.826682,0.03004085,0.1256621,0.0007318901,0.001320877,0.0001988039,0.0003162378,0.0009361072,0.01411126],"genre_scores_gemma":[0.9400343,0.00741637,0.04602771,0.0005706287,0.0001524024,0.0001081061,0.0001303326,0.00007705405,0.005483035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009926419,"threshold_uncertainty_score":0.003320754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02122895580752098,"score_gpt":0.3405474495503569,"score_spread":0.3193184937428359,"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."}}