{"id":"W4379375024","doi":"10.20944/preprints202306.0308.v1","title":"Antibacterial Thermo-Sensitive Silver Hydrogel Nanocomposite Improves Wound Healing","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; International Collaboration On Repair Discoveries; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; California HIV/AIDS Research Program","keywords":"Wound healing; Silver nanoparticle; In vivo; Nanocomposite; Antibacterial activity; Scaffold; Self-healing hydrogels; Bacterial growth; In vitro; Materials science; Biomedical engineering; Nanoparticle; Chemistry; Bacteria; Medicine; Nanotechnology; Immunology; Biology; Biochemistry","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":[0.00007745637,0.0003148456,0.0001973385,0.0001741917,0.00005644489,0.0001554189,0.0001485488,0.0002714309,0.001201277],"category_scores_gemma":[0.0001053029,0.0001154838,0.0001578788,0.00006492803,0.00009532251,0.0001569458,0.0001062738,0.0002551565,0.0002136252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001249441,"about_ca_system_score_gemma":0.00008109552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002075765,"about_ca_topic_score_gemma":0.0004436896,"domain_scores_codex":[0.9999362,0.000005962352,0.000005474118,0.00001771839,0.00002369608,0.00001084269],"domain_scores_gemma":[0.9999108,0.00001781139,0.00003462925,0.000004857068,0.00001645333,0.00001530032],"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":[0.00005261899,0.00002182335,0.00003462629,0.00003734317,0.000002124758,0.00001395645,0.00000322657,0.00004744572,0.9984961,0.000009921318,0.0000312356,0.001249648],"study_design_scores_gemma":[0.000007894589,0.0003721837,0.0007408581,0.000005739192,0.00001028409,0.00009139765,0.000004726819,0.0007653584,0.9974535,0.000008942679,0.0005365802,0.000002654435],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887854,0.002760249,0.005518334,0.00009734973,0.00007992084,0.00002055356,0.00008652364,0.0002471042,0.002404565],"genre_scores_gemma":[0.9925194,0.0007803039,0.003548665,0.00007814369,0.00002066195,0.0000209484,0.00008238732,0.00003178168,0.002917735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001201277,"threshold_uncertainty_score":0.004018664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1102099832110046,"score_gpt":0.3646744098490836,"score_spread":0.2544644266380789,"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."}}