{"id":"W2624551035","doi":"10.1016/j.biomaterials.2017.06.004","title":"A highly adhesive and naturally derived sealant","year":2017,"lang":"en","type":"article","venue":"Biomaterials","topic":"Surgical Sutures and Adhesives","field":"Medicine","cited_by":264,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute of Dental and Craniofacial Research; National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; National Institute of Arthritis and Musculoskeletal and Skin Diseases; American Heart Association","keywords":"Sealant; Materials science; Adhesive; Photoinitiator; Ethylene glycol; Biocompatibility; Gelatin; Fibrin; Biomedical engineering; Biomaterial; Fibrin glue; Seal (emblem); Photopolymer; Methacrylate; Wound healing; Fibrin Tissue Adhesive; Composite material; Adhesion; Polymer; Surgery; Polymerization; Nanotechnology; Chemical engineering; Chemistry; Medicine","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":[0.0003958551,0.0004190816,0.00024327,0.0004418727,0.0002717911,0.0004227537,0.000299764,0.0005259655,0.001559353],"category_scores_gemma":[0.000464973,0.0001740516,0.0002491033,0.0002214358,0.0003202907,0.0004818812,0.0005084729,0.0005872709,0.0005757309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001119275,"about_ca_system_score_gemma":0.0002658219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007515269,"about_ca_topic_score_gemma":0.0001712332,"domain_scores_codex":[0.999741,0.00005966185,0.00002457119,0.00006060948,0.00008503604,0.00002902954],"domain_scores_gemma":[0.9996135,0.0001056832,0.0001082088,0.00003117762,0.00005782896,0.0000836849],"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":[0.00008300108,0.00007191479,0.0001986728,0.0001513107,0.000005961516,0.000339545,0.00007065315,0.00005785762,0.9885044,0.0005634782,0.0001814491,0.00977189],"study_design_scores_gemma":[0.00001915191,0.000898997,0.002134074,0.00003336004,0.00003482445,0.002995307,0.00007105069,0.0003446175,0.9718947,0.0002522006,0.02130617,0.00001560003],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9307799,0.02177198,0.03551821,0.0004497822,0.000466805,0.0002539355,0.0005608132,0.0003627901,0.009835841],"genre_scores_gemma":[0.9531803,0.004432539,0.0297917,0.0002668003,0.0001381483,0.0001021708,0.0004715842,0.00008585599,0.01153082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001559353,"threshold_uncertainty_score":0.005216539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02306402076010784,"score_gpt":0.298369668950078,"score_spread":0.2753056481899702,"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."}}