{"id":"W4221001036","doi":"10.1371/journal.pone.0264588","title":"Metal nanoparticles assisted revival of Streptomycin against MDRS Staphylococcus aureus","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agricultural Research Institute of Ontario","funders":"King Saud University","keywords":"Nanoparticle; Streptomycin; Nuclear chemistry; Antibacterial activity; Chemistry; Zinc; Materials science; Silver nanoparticle; Nanotechnology; Antibiotics; Bacteria; Biochemistry; Organic chemistry; Biology","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":[0.00007031184,0.0002940317,0.000204876,0.0001936516,0.00008209841,0.0001633887,0.0001682373,0.0002804002,0.0006012723],"category_scores_gemma":[0.000108534,0.0001227749,0.0002259804,0.00008916303,0.0001023596,0.0001201772,0.0001957016,0.0002367047,0.0002011683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001119066,"about_ca_system_score_gemma":0.0000898054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004264698,"about_ca_topic_score_gemma":0.0009082222,"domain_scores_codex":[0.999926,0.00001278799,0.000007853168,0.00001639922,0.00002138003,0.00001566579],"domain_scores_gemma":[0.9999624,0.000005321662,0.00001216496,0.000004808001,0.000009710836,0.000005569299],"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":[0.00004586527,0.00002102995,0.00004950887,0.0000638446,0.000003301711,0.00004298838,0.0000126565,0.00004285592,0.9971232,0.0000239669,0.00005379926,0.002516839],"study_design_scores_gemma":[0.000009524134,0.0002651641,0.0007904001,0.000006619422,0.000009994485,0.000105783,0.00001290135,0.0003390697,0.9965026,0.00001126861,0.001943712,0.000003069365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915318,0.003079155,0.002131656,0.0001253087,0.00004981694,0.00003617409,0.0001122629,0.0001075534,0.002826272],"genre_scores_gemma":[0.9934725,0.001308928,0.002184825,0.00006646071,0.00001122997,0.00002443144,0.0001300134,0.00002190802,0.002779735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006012723,"threshold_uncertainty_score":0.002011418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05023364215441777,"score_gpt":0.2387469030152782,"score_spread":0.1885132608608605,"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."}}