{"id":"W4413117326","doi":"10.1021/acs.biomac.5c01041","title":"Bioactive Hydrogel Dressing with Inherent Antimicrobial and Antioxidant Activity for Wound Healing","year":2025,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"China Agricultural Research System; Jiangsu University of Science and Technology","keywords":"Antimicrobial; Wound healing; Wound dressing; Chemistry; Antioxidant; Self-healing hydrogels; Polymer chemistry; Biochemistry; Materials science; Organic chemistry; Composite material; Medicine; Surgery","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":[0.0001259275,0.0002227645,0.0002046478,0.00008551586,0.0002959478,0.00008597504,0.0001518534,0.0001462016,0.000001377213],"category_scores_gemma":[0.00004149945,0.0001933382,0.00007078585,0.000141596,0.0002666683,0.000008547611,0.0001231106,0.00006027953,0.000001439687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003120039,"about_ca_system_score_gemma":0.0001583954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001273047,"about_ca_topic_score_gemma":0.0001082413,"domain_scores_codex":[0.9988604,0.00004224723,0.0001745609,0.000545426,0.00007777344,0.00029956],"domain_scores_gemma":[0.999401,0.00002154011,0.0001013098,0.0003254329,0.00008386388,0.00006687768],"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":[0.0002356503,0.0001229324,0.0003403809,0.00007505064,0.0001564897,0.000001771152,0.00003629187,0.000005928648,0.9889833,0.0001453993,0.0001622565,0.009734511],"study_design_scores_gemma":[0.0006510504,0.0001081342,0.001340067,0.00009156664,0.0000608377,0.00002197138,0.00004545126,0.0001731963,0.9924133,0.00007267676,0.004775259,0.0002464219],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639053,0.0007273954,0.03385218,0.0004774524,0.00004458144,0.0006255374,0.00008163269,0.00003210027,0.0002538397],"genre_scores_gemma":[0.9948713,0.00008320938,0.004465768,0.0001874041,0.0000582451,0.000151079,0.00003359025,0.00003209458,0.0001172803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03096605,"threshold_uncertainty_score":0.7884104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599496874903788,"score_gpt":0.2675467428786307,"score_spread":0.2515517741295928,"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."}}