{"id":"W4393928181","doi":"10.1021/acsami.3c15798","title":"Bactericidal Effect and Cytotoxicity of Graphene Oxide/Silver Nanocomposites","year":2024,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Mitacs; Government of Canada","keywords":"Nanocomposite; Graphene; Silver nanoparticle; Materials science; Oxide; Antibacterial activity; Minimum inhibitory concentration; Cytotoxicity; Bacteria; Antimicrobial; Nanotechnology; Minimum bactericidal concentration; Nuclear chemistry; Nanoparticle; Microbiology; Chemistry; In vitro; Biology; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001005465,0.0004049408,0.0001733245,0.0003323643,0.00008139652,0.0001777317,0.0001624025,0.0002931346,0.0003849807],"category_scores_gemma":[0.0001614329,0.0001264814,0.0001912448,0.0001106633,0.0001298071,0.0001126318,0.0001399564,0.0002106487,0.0000740696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001211287,"about_ca_system_score_gemma":0.00009573636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005005439,"about_ca_topic_score_gemma":0.0008250669,"domain_scores_codex":[0.9999049,0.00001261827,0.00001001563,0.00002167405,0.00003381784,0.00001698871],"domain_scores_gemma":[0.999927,0.00001804146,0.00001874383,0.000006051427,0.00001726929,0.00001289753],"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":[0.000051503,0.00001076957,0.00007500992,0.00003082114,0.000003256372,0.00002695381,0.000004884218,0.00006346031,0.9988071,0.00001152051,0.000008477462,0.0009063037],"study_design_scores_gemma":[0.000005561892,0.0003352344,0.001724001,0.000006532058,0.00001429762,0.00007440394,0.00001068702,0.0007595204,0.9967352,0.00001050126,0.0003202542,0.000003832535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970236,0.001174142,0.0008450911,0.00002603114,0.00001856429,0.00001123845,0.00007162072,0.00004562421,0.0007840701],"genre_scores_gemma":[0.9967551,0.0005501556,0.001750523,0.00002526771,0.000007993794,0.00001686328,0.0001124227,0.000008610664,0.0007732268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005005439,"threshold_uncertainty_score":0.001287937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004360710828807068,"score_gpt":0.2038331321582257,"score_spread":0.1994724213294187,"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."}}