MétaCan
Menu
Back to cohort
Record W4313544807 · doi:10.1111/all.15639

Association of fracture incidence in children with the development of food allergy: A Korean nationwide birth cohort study

2023· letter· en· W4313544807 on OpenAlexaff
Rosie Kwon, Youn Ho Shin, Jae Il Shin, So Min Kang, Jimin Hwang, Jung U Shin, Hyungrye Noh, Chan Yeong Heo, Ai Koyanagi, Louis Jacob, Lee Smith, Jonas F. Ludvigsson, Steve Turner, Ju‐Young Shin, Han Eol Jeong, Jung‐Hyun Kim, Sang Youl Rhee, Chanyang Min, Dong In Suh, Min Ji Koo, Katrina Abuabara, Sunyeup Kim, Seung Won Lee, Dong Keon Yon, Seong Cho

Bibliographic record

VenueAllergy · 2023
Typeletter
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsUniversity of Toronto
FundersNational Research Foundation of KoreaNational Research Foundation
KeywordsIncidence (geometry)Food allergyCohortAllergyMedicineCohort studyPediatricsEnvironmental healthImmunologyPathology

Abstract

fetched live from OpenAlex

Table S1. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for 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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.286
Threshold uncertainty score0.719

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.270
Teacher spread0.257 · 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.

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

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueAllergySame topicVitamin D Research StudiesFrench-language works237,207