{"id":"W4411700148","doi":"10.1021/acsami.5c05798","title":"A Metal-Based Heterojunction for Controlled Release of Multiple Cations and Reactive Oxygen Species Inhibiting Multidrug-Resistant Bacteria <i>In Vitro</i> and <i>In Vivo</i>","year":2025,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Key Research and Development Projects of Shaanxi Province; Natural Science Foundation of Shaanxi Province; China Postdoctoral Science Foundation","keywords":"Materials science; In vivo; In vitro; Reactive oxygen species; Bacteria; Metal; Multiple drug resistance; Microbiology; Oxygen; Biology; Biochemistry; Drug resistance; Organic chemistry; Chemistry; Metallurgy","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":[0.00005079073,0.0001735216,0.00009390775,0.00009801768,0.00008131087,0.0001608119,0.0002371385,0.0002820803,0.0003724088],"category_scores_gemma":[0.00005414063,0.0001003723,0.0001144235,0.0000676366,0.00008087511,0.0001775559,0.0000962979,0.0001484767,0.0001293102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008148256,"about_ca_system_score_gemma":0.00006808578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001445671,"about_ca_topic_score_gemma":0.0003373956,"domain_scores_codex":[0.999969,0.000002819421,0.000001839622,0.000009124007,0.00001051045,0.000006826192],"domain_scores_gemma":[0.9999763,0.000003532283,0.000008023972,0.00000299515,0.000004810269,0.000004432844],"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":[0.00001542158,0.00001116176,0.00003214992,0.0000203463,0.000002648835,0.00003564997,0.000004444319,0.00007127421,0.9986411,0.00007097867,0.00003255488,0.001062252],"study_design_scores_gemma":[0.00001149316,0.0002199227,0.001090558,0.000002306626,0.0000120553,0.0001674459,0.000007604214,0.002423953,0.9944158,0.0000291277,0.001615684,0.000004100612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888581,0.001313989,0.007645917,0.00006593392,0.00006547131,0.00002287064,0.00005651639,0.0001520904,0.001819172],"genre_scores_gemma":[0.9929008,0.0005530107,0.003668186,0.00004490604,0.00001070504,0.00001770499,0.00004444492,0.00001045329,0.002749924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003724088,"threshold_uncertainty_score":0.001245856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187150712514827,"score_gpt":0.2362026562999458,"score_spread":0.2243311491747975,"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."}}