{"id":"W4407095516","doi":"10.1016/j.cej.2025.160235","title":"Conductive, adhesive, and biocompatible hydrogel sensor based on zwitterionic for effective wound healing and monitoring","year":2025,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Education and Child Care","funders":"Natural Science Basic Research Program of Shaanxi Province; Shanxi Provincial Key Research and Development Project; National Natural Science Foundation of China","keywords":"Biocompatible material; Adhesive; Wound healing; Electrical conductor; Self-healing hydrogels; Self-healing; Materials science; Nanotechnology; Biomedical engineering; Chemistry; Polymer chemistry; Composite material; Medicine; Surgery; Pathology","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":[0.0002787171,0.000571353,0.0002025546,0.0003010115,0.0001328585,0.0002362739,0.0004296834,0.0003671486,0.0008617259],"category_scores_gemma":[0.000275276,0.0001949018,0.0001420797,0.0002216783,0.0001740458,0.0005752668,0.0002804759,0.00036639,0.0002829611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002326298,"about_ca_system_score_gemma":0.0002463486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002618925,"about_ca_topic_score_gemma":0.0009087161,"domain_scores_codex":[0.9998267,0.00002367023,0.00001365206,0.00003482734,0.00007358666,0.00002758629],"domain_scores_gemma":[0.999835,0.00002835465,0.00004849191,0.000008029437,0.0000494364,0.00003058504],"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":[0.00001873203,0.00000588345,0.00003331273,0.00002490204,0.000001490233,0.0000309223,0.000007045404,0.00001414417,0.9985061,0.0000581665,0.00005057639,0.001248758],"study_design_scores_gemma":[0.00000540015,0.0001215505,0.0003712945,0.000002919988,0.000006642551,0.0001552619,0.00001232808,0.000749252,0.9976433,0.00002497954,0.0009023834,0.000004790016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562664,0.005343843,0.03345133,0.0003872285,0.0001598301,0.0001285216,0.0002451364,0.0002574651,0.003760288],"genre_scores_gemma":[0.9651607,0.00326883,0.02569849,0.000303919,0.00006101284,0.00009945641,0.0002418632,0.00004469806,0.005121148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008617259,"threshold_uncertainty_score":0.002882779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009231003210715289,"score_gpt":0.2358227580980858,"score_spread":0.2265917548873705,"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."}}