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Record W3199888442 · doi:10.1038/s41467-021-25887-8

Author Correction: Intravital imaging of islet Ca2+ dynamics reveals enhanced β cell connectivity after bariatric surgery in mice

2021· erratum· en· W3199888442 on OpenAlexaff
Elina Akalestou, Kinga Suba, Livia López–Noriega, Eleni Georgiadou, Pauline Chabosseau, Alasdair Gallie, Asger Wretlind, Cristina Legido‐Quigley, Isabelle Leclerc, Victoria Salem, Guy A. Rutter

Bibliographic record

VenueNature Communications · 2021
Typeerratum
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsUniversité de MontréalCentre Hospitalier de l’Université de Montréal
FundersMedical Research CouncilSteno Diabetes Center Copenhagen
KeywordsIsletIntravital microscopyDynamics (music)MedicineSurgeryBiologyPathologyCell biologyInsulinInternal medicinePsychology

Abstract

fetched live from OpenAlex

The original version of this Article contained an error in the name of the author Cristina Legido-Quigley, which was incorrectly given as Cristina Quigley. This has now been corrected in both the PDF and HTML versions of the Article.

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)0.004
metaresearch head score (Gemma)0.037
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.037
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0040.002
Research integrity0.0080.012
Insufficient payload (model declined to judge)0.0350.020

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 head0.011
GPT teacher head0.276
Teacher spread0.265 · 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 designBench or experimental
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

Citations2
Published2021
Admission routes1
Has abstractno

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