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Record W4376121156 · doi:10.1038/s41590-023-01525-x

Author Correction: Parenteral BCG vaccine induces lung-resident memory macrophages and trained immunity via the gut–lung axis

2023· erratum· en· W4376121156 on OpenAlexafffund
Mangalakumari Jeyanathan, Maryam Vaseghi‐Shanjani, Sam Afkhami, Jensine A. Grondin, Alisha Kang, Michael R. D’Agostino, Yushi Yao, Shreya Jain, Anna Zganiacz, Zachary Kroezen, Meera Shanmuganathan, Ramandeep Singh, Anna Dvorkin‐Gheva, Philip Britz‐McKibbin, Waliul I. Khan, Zhou Xing

Bibliographic record

VenueNature Immunology · 2023
Typeerratum
Languageen
FieldImmunology and Microbiology
TopicImmune responses and vaccinations
Canadian institutionsMcMaster University Medical CentrePopulation Health Research InstituteMcMaster University
FundersCanadian Institutes of Health ResearchGovernment of Canada
KeywordsLungMedicineImmunologyImmunityLung infectionBCG vaccineVaccinationImmune systemInternal medicine

Abstract

fetched live from OpenAlex

In the version of this article originally published, the Figure 3g dot plot panel for PBS group 14 dpi was incorrect. However, the numerical data representing the frequencies identified in this dot plot remain correct. We have now replaced this dot plot with the correct one (original and revised panels are shown as Figs. 1 and 2 below). This correction does not affect either the total number of CD4 + Ag85B + (airway) cells reported in Figure 3i or the conclusion of the article. Original and corrected Fig. 3g.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.589
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0050.011
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.282
Teacher spread0.273 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations7
Published2023
Admission routes2
Has abstractyes

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