{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000150418,0.000150417,0.0002726093,0.00009523976,0.0001739615,0.00003134085,0.00003984253,0.00009245235,0.0000289932],"category_scores_gemma":[0.00001962421,0.0001238526,0.00009825189,0.0002186666,0.00004336729,0.00005059168,0.00003470608,0.000117165,0.0006028994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007007945,"about_ca_system_score_gemma":0.00008007148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002057424,"about_ca_topic_score_gemma":0.000007374132,"domain_scores_codex":[0.998974,0.00002580249,0.0001898327,0.0002670715,0.0001846114,0.0003587015],"domain_scores_gemma":[0.9994673,0.00006790661,0.00005192473,0.0002290657,0.0000539236,0.0001299351],"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":[0.0003414385,0.0001421361,0.004378199,0.00007937868,0.0002668216,0.0004694036,0.001290026,0.000006397408,0.9829513,0.0001491388,0.0006438636,0.009281836],"study_design_scores_gemma":[0.01322335,0.001868306,0.4282619,0.0008326584,0.000679095,0.0005713807,0.0008264761,0.00152062,0.5330217,0.002378437,0.01589652,0.000919534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959735,0.00008127806,0.000006970765,0.0007057444,0.0005140299,0.0003593625,0.00002525951,0.0003014279,0.002032383],"genre_scores_gemma":[0.9963501,0.00005482284,0.0002090307,0.0004270889,0.0004857428,0.00001207471,0.0001543326,0.00003211468,0.002274667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4499297,"threshold_uncertainty_score":0.7749253,"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."}}