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Record W4401091754 · doi:10.1038/s41390-024-03416-9

Correction: Neonatal sepsis definitions from randomised clinical trials

2024· erratum· en· W4401091754 on OpenAlexaff
Rían Hayes, Jack Hartnett, Gergana Semova, Cian Murray, Katherine Murphy, Leah Carroll, Helena Plapp, Louise Hession, J. O’Toole, Danielle McCollum, Edna Roche, Elinor Jenkins, David Mockler, Tim Hurley, Matthew McGovern, John Allen, Judith Meehan, Frans B. Plötz, Tobias Strunk, Willem P. de Boode, Richard A. Polin, James L. Wynn, Marina Degtyareva, Helmut Küster, Jan Janota, Éric Giannoni, Luregn J. Schlapbach, Fleur M. Keij, Irwin Reiss, Joseph M. Bliss, Joyce M. Koenig, M. Turner, Chris Gale, Eleanor J. Molloy

Bibliographic record

VenuePediatric Research · 2024
Typeerratum
Languageen
FieldMedicine
TopicNeonatal and Maternal Infections
Canadian institutionsTrinity College
Fundersnot available
KeywordsNeonatal sepsisMedicineIntensive care medicineSepsisClinical trialPediatricsInternal medicine

Abstract

fetched live from OpenAlex

Appendix 1 , which is mentioned in the text, was unfortunately missing from the original version and it has now been added. The original article has been corrected.

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)0.011
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.410
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.008
Insufficient payload (model declined to judge)0.0060.009

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 head0.359
GPT teacher head0.515
Teacher spread0.156 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

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