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Record W4214551380 · doi:10.1128/msphere.00998-21

Adenovirus 5 Vectors Expressing SARS-CoV-2 Proteins

2022· article· en· W4214551380 on OpenAlexafffund
Scott Bachus, Nikolas Akkerman, Lauren Fulham, Drayson Graves, Caelan Stephanson, Harram Memon, Matthew S. Miller, Peter Pelka

Bibliographic record

VenuemSphere · 2022
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsMcMaster UniversityUniversity of Manitoba
FundersCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaGovernment of Canada
KeywordsPandemicBattlefieldVirologySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus disease 2019 (COVID-19)Coronavirus2019-20 coronavirus outbreakVirusSevere acute respiratory syndrome coronavirusBiologyHistoryMedicineOutbreakInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

The COVID-19 pandemic caused by the SARS-CoV-2 coronavirus has brought untold personal and economic suffering to the world. Intense research has made tremendous progress in understanding how this virus works, yet much research remains to be done as new variants and continued evolution of the virus keep shifting the rules of engagement on the pandemic battlefield. Therefore, wide availability of resources and reagents to study SARS-CoV-2 is essential in overcoming the pandemic and for the prevention of future outbreaks. Our viral vectors provide additional tools for researchers to use in order to better understand the molecular biology of virus-host interactions and other aspects 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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.508
Threshold uncertainty score0.727

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.058
GPT teacher head0.345
Teacher spread0.288 · 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

Citations3
Published2022
Admission routes2
Has abstractyes

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