{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006081823,0.00016322,0.000378414,0.0001203167,0.0002115924,0.00002592762,0.00005001489,0.00005059383,0.0000103304],"category_scores_gemma":[0.00009964166,0.0001232405,0.0001196843,0.0002294434,0.0001903852,0.0001711633,0.00006918256,0.0001570823,7.300122e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006680893,"about_ca_system_score_gemma":0.00009398995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001200047,"about_ca_topic_score_gemma":0.00001310844,"domain_scores_codex":[0.9985917,0.0002198139,0.0004621192,0.0002368885,0.0002964293,0.0001930962],"domain_scores_gemma":[0.9992567,0.00008719655,0.0003236232,0.0002250403,0.00008324866,0.00002421781],"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":[0.0007302182,0.0002474683,0.00288641,0.00008545591,0.00009442371,0.000003135317,0.000558722,0.00005463308,0.993022,0.000431631,0.00001861193,0.001867338],"study_design_scores_gemma":[0.002380491,0.000471932,0.00259172,0.00004178743,0.0002696567,0.00002116009,0.0002332955,0.02078194,0.9723078,0.0002491944,0.0005305076,0.0001205231],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974699,0.0004475983,0.0006114915,0.0005321999,0.00004869248,0.0007744723,0.00001474213,0.00002746321,0.00007346756],"genre_scores_gemma":[0.9992616,0.000007960885,0.0002928818,0.0002713584,0.0000304273,0.00008614768,0.000009888573,0.00002344018,0.00001625472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0207273,"threshold_uncertainty_score":0.50256,"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."}}