{"id":"W4393050317","doi":"10.1002/admt.202301594","title":"Tough Adhesive Puncture Sealing Sutures with Swelling Triggered Bioadhesion for Enhanced Wound Closure","year":2024,"lang":"en","type":"article","venue":"Advanced Materials Technologies","topic":"Surgical Sutures and Adhesives","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; McGill University; University of British Columbia","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; McGill University; Killam Trusts; Canada Research Chairs; Harvard University","keywords":"Fibrous joint; Adhesive; Surgery; Wound healing; Soft tissue; Seal (emblem); Biomedical engineering; Wound closure; Materials science; Swelling; Medicine; Composite material; Layer (electronics)","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":[0.0001472476,0.0003630363,0.000185075,0.0002816866,0.0000862708,0.0003029717,0.0001912115,0.0003944365,0.0007515828],"category_scores_gemma":[0.0002248788,0.0001933908,0.0002674961,0.0001527096,0.0001507379,0.0002935463,0.0003189584,0.0004797727,0.0002041167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001141211,"about_ca_system_score_gemma":0.0001045674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008530826,"about_ca_topic_score_gemma":0.0001804816,"domain_scores_codex":[0.9998538,0.00001677103,0.00001387489,0.00002497339,0.00006345954,0.00002715313],"domain_scores_gemma":[0.9997801,0.00003436606,0.0001143502,0.00001371066,0.00002149023,0.00003609857],"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":[0.00002440636,0.00002460234,0.00005762991,0.00007961783,0.000004810887,0.00008006066,0.00001714432,0.000109223,0.9952506,0.000158969,0.00008982261,0.004103118],"study_design_scores_gemma":[0.00001587534,0.0003609095,0.001206793,0.00001267377,0.00001403215,0.0001918719,0.00001635022,0.002678038,0.9926116,0.00005865188,0.002820373,0.00001286194],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641488,0.00534876,0.02712845,0.0001498457,0.0002555661,0.00008598671,0.00008705464,0.0003257405,0.002469825],"genre_scores_gemma":[0.9877571,0.001231369,0.009667989,0.0000809055,0.00003398651,0.00004273573,0.00003325381,0.00002191801,0.001130692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007515828,"threshold_uncertainty_score":0.002514303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139637275339209,"score_gpt":0.281067739496349,"score_spread":0.2696713667429569,"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."}}