{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006424991,0.0002264912,0.000528603,0.00004168435,0.0002148074,0.0001078084,0.0003757631,0.00008927887,0.0003440313],"category_scores_gemma":[0.0001356877,0.0001971545,0.0001061898,0.0002467408,0.0001744697,0.0000994729,0.0001634251,0.00003651967,0.0002155249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000028591,"about_ca_system_score_gemma":0.000075647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005859176,"about_ca_topic_score_gemma":0.00000549744,"domain_scores_codex":[0.997817,0.0002086994,0.0007918423,0.0004922202,0.0002751604,0.0004150205],"domain_scores_gemma":[0.9987338,0.00008172376,0.0004764399,0.0004160932,0.0000993593,0.0001926454],"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":[0.0000766852,0.0002543707,0.0005092009,0.00005031564,0.000008588885,0.000005777084,0.0002554762,0.00007814779,0.9979175,0.0003748131,0.0002993389,0.000169747],"study_design_scores_gemma":[0.0003593316,0.00007949447,0.00390169,0.00002671363,0.00002917112,0.000002105064,0.0000159702,0.00009643109,0.9949372,0.00002105497,0.0003054861,0.0002253707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980309,0.00003425722,0.0000362119,0.0003815361,0.0002152618,0.0004053963,0.000687787,0.0001456082,0.00006305576],"genre_scores_gemma":[0.9989602,0.00001210707,0.0006042185,0.0001827047,0.0001439964,0.00004151863,0.00001665344,0.00003154995,0.000007047687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00339249,"threshold_uncertainty_score":0.8039725,"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."}}