{"id":"W4386127657","doi":"10.11159/icnfa23.119","title":"Textile Coated with Mercaptoethane Sulfonate-functionalized Silver Nanoparticles with Virucidal Activity against SARS-CoV-2","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Silver nanoparticle; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Sulfonate; Textile; 2019-20 coronavirus outbreak; Chemistry; Nanoparticle; Virology; Nanotechnology; Materials science; Medicine; Organic chemistry; Infectious disease (medical specialty); Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002554674,0.0002624225,0.0003437109,0.000223936,0.0002617548,0.0001236326,0.0008108755,0.00008434171,0.00002772653],"category_scores_gemma":[0.0001667598,0.0001521182,0.00006368812,0.001743802,0.0007071557,0.0002957205,0.0002670927,0.0001861338,0.00008164605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005056166,"about_ca_system_score_gemma":0.00006702353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005055702,"about_ca_topic_score_gemma":0.0001340607,"domain_scores_codex":[0.9983106,0.00001110681,0.000256109,0.0004847887,0.0005112467,0.0004261713],"domain_scores_gemma":[0.9989311,0.000157502,0.0003554216,0.0003505395,0.0001694438,0.00003603243],"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":[0.0004387382,0.00009985339,0.001293907,0.00002297354,0.00003030913,0.000001183877,0.00002981954,0.00003430383,0.9835363,0.00580563,0.004473817,0.004233166],"study_design_scores_gemma":[0.0006816855,0.0001226514,0.001404506,0.0002013378,0.00004038602,0.000003734008,0.0003039456,0.0001260967,0.991308,0.001316332,0.00426408,0.0002272577],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906639,0.00002819023,0.000001724595,0.006113471,0.00009011546,0.0004992489,0.00002148986,0.001402185,0.001179709],"genre_scores_gemma":[0.9973918,0.00002062686,0.0005102392,0.00008517595,0.00001554891,0.0002080246,9.501841e-7,0.0000327588,0.001734898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007771689,"threshold_uncertainty_score":0.62032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02683666556225674,"score_gpt":0.2596872567531018,"score_spread":0.232850591190845,"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."}}