{"id":"W3099038058","doi":"10.3390/nano10112294","title":"Highly Efficient Antimicrobial Activity of CuxFeyOz Nanoparticles against Important Human Pathogens","year":2020,"lang":"en","type":"article","venue":"Nanomaterials","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Georgia Research Foundation; Division of Electrical, Communications and Cyber Systems; University of Georgia; National Institutes of Health; National Science Foundation","keywords":"Antimicrobial; Klebsiella pneumoniae; Bacteria; Microbiology; Cytotoxicity; Escherichia coli; Incubation; Viability assay; Multiple drug resistance; Chemistry; Incubation period; Antibiotics; Biology; Biochemistry; In vitro","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000124014,0.0002973869,0.0002009946,0.000157061,0.00009980689,0.0001561541,0.000100168,0.0003156836,0.0003356825],"category_scores_gemma":[0.0001091045,0.00009050994,0.0001254052,0.00006244911,0.0001164853,0.0001157088,0.0001290873,0.0001187997,0.00009035342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001510699,"about_ca_system_score_gemma":0.00009315517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004792328,"about_ca_topic_score_gemma":0.0007145092,"domain_scores_codex":[0.9999144,0.00001198925,0.000008846282,0.00001966115,0.00002407097,0.00002109286],"domain_scores_gemma":[0.9999613,0.000007039574,0.00001150563,0.000002660415,0.00001041096,0.00000714551],"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":[0.00006538875,0.00001214633,0.0001030213,0.00004695652,0.00000328245,0.00003543352,0.000008006278,0.00006394674,0.9979158,0.00002091583,0.00003444181,0.00169056],"study_design_scores_gemma":[0.000007645574,0.0002183032,0.001431338,0.000005061659,0.000008692271,0.00013987,0.000009462629,0.0003398056,0.99695,0.000007409079,0.000879639,0.000002834847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993304,0.002572566,0.002834292,0.00006457524,0.00001925769,0.00002077783,0.00009027786,0.00007171392,0.001022554],"genre_scores_gemma":[0.9949912,0.0006076458,0.003155509,0.00003029667,0.000008676442,0.00001740547,0.0001176347,0.000009789912,0.001061875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004792328,"threshold_uncertainty_score":0.001123011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02397066897074661,"score_gpt":0.2528737819803805,"score_spread":0.2289031130096339,"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."}}