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Record W4236709163 · doi:10.1038/srep26048

Erratum: Sustained PI3K Activation exacerbates BLM-induced Lung Fibrosis via activation of pro-inflammatory and pro-fibrotic pathways

2016· erratum· en· W4236709163 on OpenAlexaff
Julia Barbara Kral, Mario Kuttke, Waltraud C. Schrottmaier, Birgit Birnecker, Joanna Warszawska, Christina Wernig, Hannah Paar, Manuel Salzmann, Emine Şahin, Julia S. Brunner, Christoph H. Österreicher, Sylvia Knapp, Alice Assinger, Gernot Schabbauer

Bibliographic record

VenueScientific Reports · 2016
Typeerratum
Languageen
FieldMedicine
TopicInterstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
FundersAustrian Science Fund
KeywordsPTENSection (typography)FibrosisTransgeneCancer researchGenetically modified mouseLungMedicineBioinformaticsComputational biologyPI3K/AKT/mTOR pathwayBiologyComputer sciencePathologyCell biologyInternal medicineSignal transductionBiochemistryGene

Abstract

fetched live from OpenAlex

Scientific Reports 6: Article number: 23034; published online: 14 March 2016; updated: 20 May 2016. The Acknowledgements section and Author Contributions statement were omitted from this Article. The Acknowledgements section should read: “Floxed PTEN mice and LysMCre recombinase transgenic mice werekind gifts from T.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0250.022

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 head0.014
GPT teacher head0.246
Teacher spread0.233 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations9
Published2016
Admission routes1
Has abstractyes

Explore more

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