{"id":"W4311194453","doi":"10.3390/antibiotics11121737","title":"Cytotoxicity and Antibacterial Efficacy of AgCu and AgFe NanoAlloys: A Comparative Study","year":2022,"lang":"en","type":"article","venue":"Antibiotics","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regroupement Québécois sur les Matériaux de Pointe; Centre intégré de santé et de services sociaux de Chaudière-Appalaches; Polytechnique Montréal; Centre Intégré de Santé et de Services Sociaux des Laurentides","funders":"","keywords":"Cytotoxicity; Antibacterial activity; Chemistry; Minimum inhibitory concentration; Microbiology; Bacteria; Nuclear chemistry; In vitro; Biology; Biochemistry","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":[0.0003144714,0.0000945262,0.000242447,0.00003636595,0.0002740225,0.00004266439,0.0001282182,0.00002337532,0.00009534063],"category_scores_gemma":[0.00002443601,0.00008692908,0.00002024863,0.0001374161,0.0001589476,0.00005883064,0.0001891509,0.00007247007,0.000006004525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001011958,"about_ca_system_score_gemma":0.00002257428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005395021,"about_ca_topic_score_gemma":0.00001355589,"domain_scores_codex":[0.9990762,0.0001274852,0.0002383763,0.0002440401,0.0001695753,0.0001443422],"domain_scores_gemma":[0.999463,0.0001348014,0.0001212001,0.000200001,0.00002940318,0.00005163673],"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":[0.00004434337,0.0006736776,0.01840909,0.000009207854,0.00001037885,0.000001932669,0.001466921,0.0000102323,0.9785462,0.0006811069,0.00006060799,0.00008627244],"study_design_scores_gemma":[0.0006509567,0.0003541382,0.1523131,0.000007434566,0.00003712645,0.000006036676,0.00170444,0.00009616485,0.8445089,0.00005282035,0.0001556306,0.0001132338],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992261,0.00004864209,0.00002055176,0.00006864904,0.00006627212,0.000400551,0.00006856973,0.00002375116,0.00007694841],"genre_scores_gemma":[0.999369,0.00001211624,0.0005326046,0.00002757496,0.00002667459,0.000001687288,0.000002411265,0.000007202656,0.00002073437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1340373,"threshold_uncertainty_score":0.3544865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03141472630584984,"score_gpt":0.2865077121598159,"score_spread":0.255092985853966,"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."}}