{"id":"W4405408959","doi":"10.1016/j.ijbiomac.2024.138802","title":"Core-shell gelatin-chitosan nanoparticles with lysozyme responsiveness formed via pH-drive and transglutaminase cross-linking","year":2024,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"Central Public-interest Scientific Institution Basal Research Fund, Chinese Academy of Fishery Sciences; Chinese Academy of Fishery Sciences; Horizon 2020 Framework Programme; National Institute of Food and Agriculture; U.S. Department of Agriculture; Agence Nationale de la Recherche; European Commission; Horizon 2020; China Scholarship Council","keywords":"Tissue transglutaminase; Chitosan; Lysozyme; Gelatin; Chemistry; Nanoparticle; Shell (structure); Chemical engineering; Core (optical fiber); Lysine; Enzyme; Biophysics; Biochemistry; Materials science; Biology; Amino acid","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":[0.0004075751,0.0002004347,0.0002721128,0.00005195378,0.0001115357,0.0003022461,0.0004867834,0.0001355825,0.00007506811],"category_scores_gemma":[0.0001190112,0.00007066329,0.0001450609,0.0001666542,0.0002929933,0.000222695,0.00009547005,0.0002519244,0.000009382522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003864582,"about_ca_system_score_gemma":0.00002438395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002306275,"about_ca_topic_score_gemma":0.00003550747,"domain_scores_codex":[0.9983331,0.000144788,0.0005306794,0.0002924553,0.0004492449,0.0002497298],"domain_scores_gemma":[0.9988612,0.000519117,0.0002211333,0.00004394098,0.0002199391,0.0001346886],"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":[0.0006087329,0.00006644345,0.008371687,0.00001041218,0.0001263225,0.0008501476,0.0001127975,0.00001548203,0.9389213,0.001240582,0.000004693909,0.04967135],"study_design_scores_gemma":[0.00111973,0.005127366,0.1406395,0.001166395,0.00006667914,0.006164945,0.0005493946,0.0007462613,0.8228965,0.01718276,0.003657405,0.0006831058],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962875,0.001428452,0.0004867201,0.0009419247,0.0004227778,0.0001571379,0.0000650594,0.00004599981,0.0001643859],"genre_scores_gemma":[0.9987505,0.0001110126,0.0005314934,0.000141922,0.0004229382,0.00000855728,0.00001681448,0.000002719358,0.00001402275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1322678,"threshold_uncertainty_score":0.2914566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04190197334027643,"score_gpt":0.2914583820558846,"score_spread":0.2495564087156082,"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."}}