{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001754837,0.0004018636,0.0001070431,0.0002872482,0.00008591819,0.0002969234,0.0001584957,0.0002665091,0.0006685386],"category_scores_gemma":[0.0001499911,0.0001970533,0.0001749185,0.0001073215,0.0001481404,0.0003932864,0.0002005644,0.000343649,0.0001835478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002038922,"about_ca_system_score_gemma":0.0001571991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001533982,"about_ca_topic_score_gemma":0.00059741,"domain_scores_codex":[0.9999281,0.000006814817,0.000007305383,0.00001391419,0.0000249583,0.00001898901],"domain_scores_gemma":[0.999877,0.00002172787,0.00005529591,0.000006925306,0.00001268846,0.00002641997],"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":[0.000006596549,0.00001201068,0.00003155645,0.00002659632,0.000001583021,0.0000214535,0.000009989201,0.0001632139,0.9984713,0.0001708127,0.00001636013,0.001068639],"study_design_scores_gemma":[0.000009209848,0.000121485,0.0003909401,0.000006083571,0.000005916176,0.00006998106,0.00001321422,0.001580018,0.9958265,0.00009364099,0.001875937,0.000006891151],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478731,0.0022123,0.04629052,0.0001515532,0.0001031366,0.0001169601,0.0002087447,0.000220037,0.002823597],"genre_scores_gemma":[0.9741306,0.001224544,0.02224962,0.00007302165,0.00002412499,0.00006506539,0.0001045461,0.00004428421,0.002084179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006685386,"threshold_uncertainty_score":0.002236426,"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."}}