{"id":"W3010575324","doi":"10.1016/j.ijpharm.2020.119197","title":"Silver oxynitrate gel formulation for enhanced stability and antibiofilm efficacy","year":2020,"lang":"en","type":"article","venue":"International Journal of Pharmaceutics","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Exciton Technologies (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada; Hospital for Sick Children; University of Guelph","keywords":"Biocompatibility; Oxidizing agent; Antimicrobial; Silver sulfadiazine; Active ingredient; Drug delivery; Dosage form; Chemistry; Biofilm; Solid-state; Materials science; Nanotechnology; Combinatorial chemistry; Chemical engineering; Chromatography; Organic chemistry; Wound healing; Pharmacology; Medicine; Biology; Surgery; Bacteria","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":[0.0001570216,0.0002244271,0.0002226756,0.0002084448,0.0001259978,0.0002175569,0.0001770185,0.0003102775,0.001003498],"category_scores_gemma":[0.000183461,0.0001186369,0.0002165026,0.00009966794,0.0001043508,0.0002073306,0.0001399695,0.0002912142,0.0001687506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001606265,"about_ca_system_score_gemma":0.0001457482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004635715,"about_ca_topic_score_gemma":0.0007920499,"domain_scores_codex":[0.9998878,0.00001532895,0.00001179011,0.00002279576,0.00004205019,0.00002011097],"domain_scores_gemma":[0.9998959,0.00001309665,0.00003976499,0.000005379102,0.000031575,0.00001421902],"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":[0.000262294,0.00005479059,0.00005749709,0.00007331567,0.000003678289,0.00006213409,0.000009231032,0.00004848108,0.9957877,0.00003349528,0.00004422439,0.00356313],"study_design_scores_gemma":[0.00003320967,0.001511699,0.0009241108,0.000008140648,0.0000338173,0.0001715263,0.00001422482,0.0007559136,0.995365,0.00001196544,0.001163094,0.000007230126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932905,0.002049717,0.00290158,0.0000766037,0.00007969805,0.00005104446,0.00006984272,0.00006391959,0.001417068],"genre_scores_gemma":[0.9923496,0.001032522,0.003911622,0.00003859681,0.00001931861,0.000029385,0.00005628209,0.00001916374,0.002543463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001003498,"threshold_uncertainty_score":0.003357053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1193784003778671,"score_gpt":0.4218252895420363,"score_spread":0.3024468891641692,"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."}}