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Record W4234333374 · doi:10.26434/chemrxiv.14555796.v1

Evaluation of Virucidal Activity of Residual Quaternary Ammonium-treated Surfaces on SARS-CoV-2

2021· preprint· en· W4234333374 on OpenAlexaff
Alexander Caschera, JULIE MCAULEY, Youry Kim, DAMIAN PURCELL, Jasper Rymenants, Daniel A. Foucher

Bibliographic record

VenueChemRxiv · 2021
Typepreprint
Languageen
FieldMedicine
TopicInfection Control and Ventilation
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsAntimicrobialAmmoniumSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)MicrobiologyVirologyTransmission (telecommunications)ContaminationChemistryCoronavirus disease 2019 (COVID-19)BiologyMedicineInfectious disease (medical specialty)Organic chemistryDisease

Abstract

fetched live from OpenAlex

A commercially available and EPA/PMRA registered quaternary ammonium antimicrobial formulation was applied to stainless steel carrier disks and sent to two virology research institutes to independently determine whether samples treated with SiQAC-C18 antimicrobial material could deactivate deposited SARS-CoV-2 virions on contaminated surfaces. The results independently support a sustained antiviral effect imparted from these treated surfaces by both SARS-CoV-2 virion destruction and degradation of viral RNA. These preliminary results indicate the SiQAC-18 treated surfaces could play an important role in mitigating the communicability and fomite transmission of SARS-CoV-2.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score0.817

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.086
GPT teacher head0.358
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2021
Admission routes1
Has abstractyes

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