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Record W4283327285 · doi:10.1128/spectrum.00553-22

Correction for Valcourt et al., “Evaluating Humoral Immunity against SARS-CoV-2: Validation of a Plaque-Reduction Neutralization Test and a Multilaboratory Comparison of Conventional and Surrogate Neutralization Assays”

2022· erratum· en· W4283327285 on OpenAlexaff
Emelissa J. Valcourt, Kathy Manguiat, Alyssia Robinson, Yi-Chan Lin, Kento T. Abe, Samira Mubarek, Altynay Shigayev, Zoë Zhong, Roxie C. Girardin, Alan P. Dupuis, Anne F. Payne, Kathleen A. McDonough, Zhen Wang, Romain Gasser, Annemarie Laumaea, Mehdi Benlarbi, Jonathan Richard, Jérémie Prévost, Sai Priya Anand, Kristina Dimitrova, Clark Phillipson, David H. Evans, Allison McGeer, Anne‐Claude Gingras, Chen Liang, Martin Petric, Inna Sekirov, Muhammad Morshed, Andrés Finzi, Michael Drebot, Heidi Wood

Bibliographic record

VenueMicrobiology Spectrum · 2022
Typeerratum
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsCentre Hospitalier de l’Université de MontréalPublic Health Agency of CanadaMcGill UniversityBC Centre for Disease ControlSunnybrook Health Science CentreSinai Health SystemUniversity of TorontoUniversité de MontréalUniversity of AlbertaHealth Sciences CentreMount Sinai HospitalUniversity of Manitoba
Fundersnot available
KeywordsNeutralizationSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)MedicineVirologyCoronavirus disease 2019 (COVID-19)Internal medicineVirus

Abstract

fetched live from OpenAlex

Volume 9, no. 3, e00886-21, 2021, https://doi.org/10.1128/Spectrum.00886-21. Page 1: This article was published on 17 November 2021 with David H. Evans missing from the byline. The byline was updated in the version posted on 11 February 2022.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.016
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.060
GPT teacher head0.388
Teacher spread0.328 · 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.

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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

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