{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000088373,0.0001083245,0.0002672206,0.00002314568,0.0001895734,0.0001439329,0.00008635276,0.00008558569,0.0001772293],"category_scores_gemma":[0.0001567975,0.0000699349,0.00005238423,0.0000104286,0.0001091737,0.00006949603,0.00008097195,0.000009334361,0.00004163039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009132446,"about_ca_system_score_gemma":0.00001950804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008229172,"about_ca_topic_score_gemma":0.000002992593,"domain_scores_codex":[0.9993851,0.00002265238,0.000137651,0.0001826238,0.0001010655,0.0001709455],"domain_scores_gemma":[0.999424,0.00002974118,0.0001030078,0.0002734991,0.0000374952,0.0001321954],"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":[0.0002163792,0.00001852237,0.002860038,0.00004439672,0.0000402327,0.0001729582,0.000052647,2.454014e-9,0.9946511,0.000276167,0.0004814781,0.001186026],"study_design_scores_gemma":[0.0007556637,0.00009485392,0.4795476,0.00007033873,0.0000326566,0.00008814417,0.00001830682,0.000001200205,0.509991,0.0001198461,0.009194791,0.00008553921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954237,0.000394605,5.372829e-7,0.002604723,0.0004098356,0.0001863706,0.00001872985,0.00004870643,0.0009127497],"genre_scores_gemma":[0.9983916,0.0001605561,0.0002683557,0.0003349121,0.0003670047,0.000008638242,0.0000120968,0.00001103064,0.0004458022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4846601,"threshold_uncertainty_score":0.2851862,"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."}}