{"id":"W2996454482","doi":"10.1016/j.polymertesting.2019.106298","title":"In vitro and in vivo evaluation of chitosan-alginate/gentamicin wound dressing nanofibrous with high antibacterial performance","year":2019,"lang":"en","type":"article","venue":"Polymer Testing","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":160,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; University of Victoria","funders":"Universiti Teknologi Malaysia; Natural Sciences and Engineering Research Council of Canada; Saskatchewan Health Research Foundation","keywords":"Nanofiber; Electrospinning; In vivo; Wound healing; Chitosan; Gentamicin; Antimicrobial; Materials science; Wound dressing; In vitro; Biomedical engineering; Antibacterial activity; Regeneration (biology); Microbiology; Chemistry; Antibiotics; Surgery; Polymer; Medicine; Nanotechnology; Biology; Composite material; Bacteria; Biochemistry; Biotechnology","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":[0.0005314623,0.0001291266,0.0002242688,0.0001504462,0.00005778478,0.00003737947,0.0001456594,0.00006261605,0.00006247128],"category_scores_gemma":[0.00003773394,0.0001128445,0.000008380878,0.0005440612,0.000143748,0.0002731554,0.00006205704,0.00008770064,0.00000471637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005127552,"about_ca_system_score_gemma":0.0001290131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005475531,"about_ca_topic_score_gemma":0.00001100058,"domain_scores_codex":[0.9985539,0.0000888502,0.0003327485,0.0003171473,0.0003999391,0.0003074303],"domain_scores_gemma":[0.9993631,0.0001678226,0.0001954798,0.0001992018,0.0000359704,0.00003845467],"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":[0.00007458622,0.00004242999,0.03631993,0.00005252633,0.000001566699,6.835816e-7,0.0001613507,0.0000176882,0.9610065,0.00001813914,6.804789e-7,0.002303908],"study_design_scores_gemma":[0.001046954,0.000080333,0.03990874,0.0001947714,0.00001340474,0.00001589378,0.00002239063,0.00313215,0.9554031,0.00005059124,0.000001128916,0.0001305068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987726,0.0001707119,0.00003268294,0.0000836817,0.0001382313,0.0003696796,0.000007144974,0.00002446229,0.000400837],"genre_scores_gemma":[0.9927579,0.000002563389,0.007095795,0.00003407576,0.00004857363,0.00002701326,0.000004866987,0.00001594729,0.00001322392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007063112,"threshold_uncertainty_score":0.4601664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01308342134048234,"score_gpt":0.2527625770253272,"score_spread":0.2396791556848448,"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."}}