{"id":"W4408184519","doi":"10.1021/acsnano.4c17291","title":"Starfish-Inspired Synergistic Reinforced Hydrogel Wound Dressing: Dual Responsiveness and Enhanced Bioactive Compound Delivery for Advanced Skin Regeneration and Management","year":2025,"lang":"en","type":"article","venue":"ACS Nano","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"H2020 European Research Council; National Key Research and Development Program of China; State Key Laboratory of Polymer Materials Engineering; China Postdoctoral Science Foundation; Canada Foundation for Innovation; National Natural Science Foundation of China; Canada Excellence Research Chairs, Government of Canada","keywords":"Starfish; Regeneration (biology); Wound dressing; Wound healing; Self-healing hydrogels; Biomedical engineering; Materials science; Nanotechnology; Chemistry; Medicine; Surgery; Cell biology; Polymer chemistry; Biology; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001424871,0.0001888339,0.0003073469,0.0001904673,0.0003322166,0.00005563577,0.00003501442,0.00009682849,0.000001719711],"category_scores_gemma":[0.00006899709,0.0001747244,0.00003624055,0.0001746526,0.0001033614,0.0001125609,0.00004838403,0.00006595928,0.000001529199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001646671,"about_ca_system_score_gemma":0.0001087524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005260439,"about_ca_topic_score_gemma":0.00003205703,"domain_scores_codex":[0.9989449,0.00003411221,0.0002601551,0.0003828614,0.00014433,0.0002335869],"domain_scores_gemma":[0.9992322,0.0002067716,0.00009472221,0.0002368182,0.0001458803,0.00008358098],"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":[0.01463845,0.0004024468,0.0007041198,0.002346775,0.001801578,0.0002316495,0.001461915,0.0004312007,0.8980594,0.01931194,0.0008371938,0.05977333],"study_design_scores_gemma":[0.02031476,0.001225648,0.009041576,0.001688035,0.001192446,0.00003272526,0.0009501377,0.001935534,0.9567947,0.001747045,0.004580847,0.0004965836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940705,0.0008243457,0.002524118,0.0004880167,0.0001767312,0.001099792,0.00002284405,0.00005498385,0.0007386133],"genre_scores_gemma":[0.9912527,0.0005164958,0.002418051,0.0003373576,0.00004079949,0.000166654,0.0001557275,0.00001835172,0.005093919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05927674,"threshold_uncertainty_score":0.7125055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148510270657018,"score_gpt":0.2906532964951001,"score_spread":0.2758022694293983,"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."}}