{"id":"W4283327011","doi":"10.1093/mtomcs/mfac044","title":"Cellulosic copper nanoparticles and a hydrogen peroxide–based disinfectant trigger rapid inactivation of pseudoviral particles expressing the Spike protein of SARS-CoV-2, SARS-CoV, and MERS-CoV","year":2022,"lang":"en","type":"article","venue":"Metallomics","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sani Marc (Canada); Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Disinfectant; Hydrogen peroxide; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Chemistry; Spike Protein; Coronavirus disease 2019 (COVID-19); Virology; Copper; Coronavirus; Biology; Biochemistry; Medicine; Organic chemistry; Infectious disease (medical specialty)","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":[0.0001543509,0.0003005883,0.0001673501,0.00009704385,0.00007911465,0.0001605594,0.0001861281,0.0002872572,0.0004041011],"category_scores_gemma":[0.0001345662,0.0001231736,0.0002116422,0.00008353514,0.0001446602,0.0001420952,0.0001444001,0.000238521,0.00008592728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002123021,"about_ca_system_score_gemma":0.000121813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000677101,"about_ca_topic_score_gemma":0.0008081398,"domain_scores_codex":[0.9998553,0.00002006461,0.0000143551,0.00003842599,0.00003771253,0.00003427059],"domain_scores_gemma":[0.999933,0.00001380466,0.00002102165,0.000006159429,0.00001150838,0.0000144734],"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":[0.00007853039,0.00001532106,0.00006006457,0.00001572291,0.000003069017,0.00001972946,0.00001101933,0.00003492224,0.9993456,0.00001750778,0.00001706572,0.0003814523],"study_design_scores_gemma":[0.000005048916,0.0002186453,0.00112718,0.000002104862,0.000003941167,0.00003219637,0.000009784305,0.0006353981,0.9977328,0.00000479013,0.0002266241,0.000001574516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979581,0.0003457111,0.001009565,0.00001778615,0.00001635458,0.00001591436,0.00004910024,0.00002885194,0.0005586669],"genre_scores_gemma":[0.9964471,0.0002452058,0.001922289,0.00002814738,0.000005491455,0.00003145553,0.0001465586,0.000008861174,0.001164865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000677101,"threshold_uncertainty_score":0.001540303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03494082983640322,"score_gpt":0.2733657242471204,"score_spread":0.2384248944107172,"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."}}