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Record W4386810029 · doi:10.1002/jex2.114

Correction to A thermo‐resistant and RNase‐sensitive cargo from  <i>Giardia duodenalis</i>  extracellular vesicles modifies the behaviour of enterobacteria

2023· erratum· en· W4386810029 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Extracellular Biology · 2023
Typeerratum
Languageen
FieldImmunology and Microbiology
TopicParasitic Infections and Diagnostics
Canadian institutionsnot available
FundersNational Health and Medical Research CouncilMedical Research CouncilAustralian Government
KeywordsExtracellular vesiclesGiardiaRNase PVesicleExtracellularGiardia lambliaMicrobiologyBiologyChemistryCell biologyBiochemistryRNAGeneMembrane

Abstract

fetched live from OpenAlex

Siddiq, A., Dong, G., Balan, B., Harrison, L. G., Jex, A., Olivier, M., Allain, T., & Buret, A. G. (2023). A thermo-resistant and RNase-sensitive cargo from Giardia duodenalis extracellular vesicles modifies the behaviour of enterobacteria. Journal of Extracellular Biology, 2, e109. https://doi.org/10.1002/jex2.109 In the originally-published article, incorrect text was included for the Acknowledgements and Conflict of Interest Statement sections. The correct text appears below. The article has been updated online. We apologize for this error. AB was funded by the Natural Science and Engineering Research Council of Canada (Grant RT690446). MO Research is supported by grants from the Canadian Institute for Health Research (Grant #159765) and the Natural Science and Engineering Research Council of Canada (Grant RGPIN/03863-2017). AR Jex was funded by the Australian National Health and Medical Research Foundation Leadership Fellowship program (APP1194330), Victorian State Government Operational Infrastructure Support, Australia and the Australian Government National Health and Medical Research Council Independent Research Institute Infrastructure Support Scheme. All co-authors have seen and agree with the contents of the manuscript and there is no conflict of interest

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)
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 score0.305
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.013
GPT teacher head0.248
Teacher spread0.235 · 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
Published2023
Admission routes1
Has abstractyes

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