{"id":"W4407723083","doi":"10.1073/pnas.2415927122","title":"Mussel-inspired cross-linking mechanisms enhance gelation and adhesion of multifunctional mucin-derived hydrogels","year":2025,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Research Office; National Institute of Environmental Health Sciences; Canadian Institutes of Health Research; Multidisciplinary University Research Initiative; Deutsche Forschungsgemeinschaft; Institute for Collaborative Biotechnologies; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology; National Institutes of Health; National Science Foundation","keywords":"Self-healing hydrogels; Mucin; Biofouling; Adhesive; Adhesion; Materials science; Polymer; Wound healing; Nanotechnology; Biomaterial; Tissue engineering; Mucus; Chemical engineering; Biophysics; Polymer chemistry; Chemistry; Composite material; Biomedical engineering; Biochemistry; Membrane","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":[0.0001016506,0.000319657,0.00008730663,0.0001392047,0.0001025189,0.00018593,0.0001387489,0.0002053874,0.0005974558],"category_scores_gemma":[0.0001402998,0.0001120199,0.0001578063,0.00006085493,0.0001373337,0.0001957546,0.000237143,0.0002510592,0.0001217659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001615789,"about_ca_system_score_gemma":0.00007917677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002802489,"about_ca_topic_score_gemma":0.0008037806,"domain_scores_codex":[0.9999448,0.00000620716,0.00000395007,0.00001503363,0.00001297491,0.00001698628],"domain_scores_gemma":[0.9999399,0.00001294464,0.00002174898,0.000005505352,0.000007888617,0.00001203007],"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":[0.00001107569,0.00001123224,0.00007743391,0.0000206988,0.000003220068,0.00001761146,0.00001265106,0.0001422113,0.9987131,0.00005988984,0.00002096883,0.0009098429],"study_design_scores_gemma":[0.000005005102,0.0000771811,0.001119558,0.000002702848,0.000005347507,0.00003506779,0.000007449932,0.001558722,0.9965449,0.00001951533,0.000620788,0.000003805946],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947687,0.0005269356,0.003041046,0.00004260263,0.00001207177,0.00001557394,0.00003673431,0.00005074582,0.001505561],"genre_scores_gemma":[0.9960425,0.0002676595,0.002372991,0.00004172597,0.000004179225,0.00001236483,0.00002545345,0.000009590998,0.001223451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005974558,"threshold_uncertainty_score":0.001998663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03278939005234168,"score_gpt":0.3337067815537013,"score_spread":0.3009173915013597,"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."}}