{"id":"W4211228512","doi":"10.1021/acsami.1c21200","title":"Adhesive, Antibacterial, Conductive, Anti-UV, Self-Healing, and Tough Collagen-Based Hydrogels from a Pyrogallol-Ag Self-Catalysis System","year":2022,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Science Foundation of Fujian Province; National Natural Science Foundation of China","keywords":"Self-healing hydrogels; Materials science; Biocompatibility; Adhesion; Silver nanoparticle; Adhesive; Polymer; Nanotechnology; Chemical engineering; Nanoparticle; Composite material; Polymer chemistry","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":[0.0001281062,0.0003936854,0.00007905763,0.0001868292,0.00007276887,0.0001691596,0.000172927,0.0002286387,0.0004368149],"category_scores_gemma":[0.0001070866,0.0001375832,0.0001333329,0.00006891366,0.0001149948,0.0002282632,0.0001414033,0.0003087655,0.0001655323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001640997,"about_ca_system_score_gemma":0.0001252877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002399102,"about_ca_topic_score_gemma":0.0006096044,"domain_scores_codex":[0.9999111,0.000009941597,0.000006970547,0.00002235102,0.00003165199,0.00001801571],"domain_scores_gemma":[0.9999127,0.00001157929,0.00003458955,0.000005975891,0.00001165496,0.00002348697],"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":[0.000008497875,0.000006307338,0.0000416091,0.00002199444,0.00000202144,0.00002930734,0.000005527194,0.000061395,0.9990287,0.0000501492,0.0000128293,0.0007316769],"study_design_scores_gemma":[0.000006412334,0.00006357371,0.000913676,0.000002360444,0.000006830993,0.0001361919,0.000004893333,0.001031055,0.9968689,0.00002468871,0.0009364273,0.000005036753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728918,0.003486076,0.02099162,0.0001825731,0.00006923987,0.00004256215,0.0001870267,0.0001426817,0.002006279],"genre_scores_gemma":[0.9899235,0.0006808788,0.00786353,0.00006462863,0.00001756049,0.00001895044,0.00008829028,0.00001282303,0.001329687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004368149,"threshold_uncertainty_score":0.001461267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007890217429276706,"score_gpt":0.2219987879953998,"score_spread":0.2141085705661231,"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."}}