{"id":"W2899984597","doi":"10.1021/acsami.8b14526","title":"On-Demand Dissolvable Self-Healing Hydrogel Based on Carboxymethyl Chitosan and Cellulose Nanocrystal for Deep Partial Thickness Burn Wound Healing","year":2018,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":504,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates Bio Solutions; China Scholarship Council; National Natural Science Foundation of China; Canada Research Chairs; Alberta Crop Industry Development Fund","keywords":"Carboxymethyl cellulose; Materials science; Wound healing; Self-healing hydrogels; Biocompatibility; Chitosan; Self-healing; Biomedical engineering; Bacterial cellulose; Burn wound; Scaffold; Extracellular matrix; Polymer; Dissolution; Nanotechnology; Composite material; Cellulose; Chemical engineering; Surgery; Medicine; Polymer chemistry; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001074029,0.0003392735,0.0002259397,0.0001931216,0.0001164022,0.000159559,0.0002489141,0.0002641018,0.0006035101],"category_scores_gemma":[0.0001191713,0.0001215043,0.0002278138,0.000168613,0.0001021287,0.0002443222,0.0001769789,0.0002863256,0.0002062537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004506802,"about_ca_system_score_gemma":0.0003258879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002188898,"about_ca_topic_score_gemma":0.003934701,"domain_scores_codex":[0.9998852,0.000008164167,0.00000945413,0.00002818611,0.00004642272,0.00002264623],"domain_scores_gemma":[0.9999137,0.000008155886,0.00003021074,0.000005673789,0.00001916194,0.00002310165],"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":[0.00003580451,0.00002339089,0.00005162334,0.000099688,0.000004540287,0.00004294169,0.000008145152,0.0001379938,0.9956005,0.00009945923,0.00007737772,0.003818465],"study_design_scores_gemma":[0.000009247764,0.0001331939,0.0004241214,0.00000550462,0.00001286885,0.0001057143,0.000005264094,0.001778788,0.9960051,0.00001155421,0.001500044,0.000008592844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9510514,0.009675499,0.03220097,0.0002240025,0.0001808822,0.0001503833,0.0002668579,0.0003496539,0.005900334],"genre_scores_gemma":[0.9715834,0.002497297,0.02185591,0.000118115,0.000019709,0.00006837845,0.000159561,0.00004628332,0.003651441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002188898,"threshold_uncertainty_score":0.004352331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456113122882757,"score_gpt":0.2775425360246605,"score_spread":0.2629814047958329,"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."}}