{"id":"W3188527509","doi":"10.1038/s41467-021-23117-9","title":"Ultra-strong bio-glue from genetically engineered polypeptides","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Surgical Sutures and Adhesives","field":"Medicine","cited_by":197,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Research Chairs; Russian Foundation for Basic Research; Lomonosov Moscow State University; Volkswagen Foundation; K. C. Wong Education Foundation; Chinese Academy of Sciences; Salt Science Research Foundation","keywords":"Adhesion; Adhesive; Bioadhesive; Wound healing; Covalent bond; Nanotechnology; GLUE; Biocompatible material; Cationic polymerization; Materials science; Chemistry; Biophysics; Biomedical engineering; Polymer chemistry; Composite material; Drug delivery; Organic chemistry","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":[0.0001836649,0.0004156996,0.0001749589,0.0001794265,0.0001065298,0.0003016033,0.0001325865,0.0003442178,0.0006868817],"category_scores_gemma":[0.0001652098,0.0001512616,0.0001544582,0.0001581342,0.0002085844,0.0002897509,0.0003618202,0.0004102462,0.0004144627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001447888,"about_ca_system_score_gemma":0.0001055947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007182224,"about_ca_topic_score_gemma":0.0001922724,"domain_scores_codex":[0.9998844,0.00002022478,0.00001332044,0.00002402417,0.00003935478,0.00001863097],"domain_scores_gemma":[0.9998307,0.00002863738,0.00007116768,0.00001214892,0.00002020527,0.00003706447],"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":[0.00000478929,0.000001823736,0.00002833133,0.00001853208,0.000001213869,0.0000237308,0.000005074729,0.00002054341,0.9992861,0.00004253523,0.00001405471,0.0005533302],"study_design_scores_gemma":[0.000002456978,0.00005527597,0.0007470184,0.000005832509,0.000005820407,0.0001930534,0.000007348267,0.0002481492,0.9964262,0.0000313403,0.002273704,0.000003814027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632089,0.004045088,0.02920758,0.000189634,0.00008003302,0.00003826796,0.0001769852,0.0001856217,0.00286789],"genre_scores_gemma":[0.9796291,0.001868469,0.01505221,0.0001291418,0.00002364725,0.00004060912,0.0002178162,0.000055257,0.002983774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006868817,"threshold_uncertainty_score":0.002297878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02062334701473887,"score_gpt":0.2976408644542306,"score_spread":0.2770175174394917,"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."}}