{"id":"W4383262911","doi":"10.3390/gels9070542","title":"Antibacterial Thermosensitive Silver–Hydrogel Nanocomposite Improves Wound Healing","year":2023,"lang":"en","type":"article","venue":"Gels","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; International Collaboration On Repair Discoveries; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Biocompatibility; Silver nanoparticle; Wound healing; In vivo; Nanocomposite; Antibacterial activity; Materials science; MTT assay; Dynamic light scattering; Biomedical engineering; Self-healing hydrogels; Nuclear chemistry; Chemistry; Nanoparticle; In vitro; Nanotechnology; Medicine; Surgery; Bacteria; Polymer 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":[0.0001055297,0.0003443852,0.0002292539,0.0001976387,0.0000733248,0.0001717773,0.000139348,0.0002875729,0.0007231678],"category_scores_gemma":[0.000116166,0.000135647,0.0001908119,0.00008917935,0.00009401241,0.0002042656,0.000116912,0.0002812436,0.0001554612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001370708,"about_ca_system_score_gemma":0.00008767163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002465721,"about_ca_topic_score_gemma":0.0005507754,"domain_scores_codex":[0.9999175,0.00000933466,0.000008870801,0.00002191252,0.00002747626,0.00001482861],"domain_scores_gemma":[0.9999069,0.00001627121,0.00003766086,0.000005231532,0.00001539446,0.0000185576],"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":[0.00004236428,0.0000190431,0.00003487703,0.00003000255,0.000002287022,0.00001721338,0.000003262249,0.00004928216,0.9986327,0.000008720105,0.00002026078,0.001139858],"study_design_scores_gemma":[0.00000763256,0.0002775885,0.0009305143,0.000003960452,0.00001189913,0.0000916119,0.000004749127,0.0008581731,0.9973081,0.000008983684,0.0004934095,0.000003432553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907655,0.002338596,0.00499513,0.0000850708,0.00005613798,0.00001804496,0.00007036514,0.0002124995,0.001458589],"genre_scores_gemma":[0.9933802,0.0008060506,0.003660219,0.00006621592,0.00001738285,0.00002040959,0.00006596091,0.00003038533,0.001953125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007231678,"threshold_uncertainty_score":0.002419174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02242154214511588,"score_gpt":0.2978172249259809,"score_spread":0.275395682780865,"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."}}