{"id":"W3018774954","doi":"10.1002/adhm.201901722","title":"Engineering Tough, Injectable, Naturally Derived, Bioadhesive Composite Hydrogels","year":2020,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Surgical Sutures and Adhesives","field":"Medicine","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Heart, Lung, and Blood Institute; Fonds de Recherche du Québec - Santé; National Institutes of Health; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Self-healing hydrogels; Bioadhesive; Materials science; Methacrylate; Toughness; Polymer; Composite number; Gelatin; Composite material; Tissue engineering; Monomer; Chemical engineering; Polymer chemistry; Biomedical engineering; Chemistry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007939395,0.0002780396,0.000695796,0.00005281051,0.00009706985,0.0000407259,0.0001134324,0.0001521192,0.0002745505],"category_scores_gemma":[0.0001959873,0.0002339483,0.0001168285,0.0002344092,0.00003449813,0.0001485176,0.00008230801,0.0002145023,0.0001132589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006923904,"about_ca_system_score_gemma":0.00006618449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000775179,"about_ca_topic_score_gemma":0.00000317743,"domain_scores_codex":[0.9982827,0.00006256291,0.0004682885,0.0004421417,0.0002424622,0.0005018376],"domain_scores_gemma":[0.998919,0.0001079821,0.0001328202,0.0002192739,0.0001267795,0.0004942186],"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":[0.0005991396,0.00001977903,0.0002935184,0.0006250269,0.00004155077,0.0002380852,0.0002749058,0.00007317412,0.9941986,0.0004348563,0.00008030083,0.003121035],"study_design_scores_gemma":[0.001543717,0.0005004784,0.005119119,0.0003715419,0.00004040681,0.0001246287,0.0001583641,0.00003775943,0.9701449,0.00008316062,0.02151807,0.0003578333],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787208,0.002381545,0.00007016168,0.0172158,0.0004891483,0.0006502244,0.00008018158,0.0002933298,0.00009883252],"genre_scores_gemma":[0.9845605,0.0003943826,0.005439377,0.008766315,0.0005941757,0.00004101885,0.0001039206,0.00005375679,0.00004657522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02405371,"threshold_uncertainty_score":0.9540135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01700618438797014,"score_gpt":0.27188185337578,"score_spread":0.2548756689878098,"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."}}