MétaCan
Menu
Back to cohort
Record W2570180294 · doi:10.1016/j.jaci.2016.10.010

Addendum guidelines for the prevention of peanut allergy in the United States: Report of the National Institute of Allergy and Infectious Diseases–sponsored expert panel

2017· article· en· W2570180294 on OpenAlexaff
Alkis Togias, Susan F. Cooper, Maria L. Acebal, Amal Assa’ad, James R. Baker, Lisa A. Beck, Julie Block, Carol Byrd‐Bredbenner, Edmond S. Chan, Lawrence F. Eichenfield, David M. Fleischer, George J. Fuchs, Glenn T. Furuta, Matthew Greenhawt, Ruchi S. Gupta, Michele Habich, Stacie M. Jones, Kari Keaton, Antonella Muraro, Marshall Plaut, Lanny J. Rosenwasser, Daniel Rotrosen, Hugh A. Sampson, Lynda C. Schneider, Scott H. Sicherer, Robert Sidbury, Jonathan M. Spergel, David R. Stukus, Carina Venter, Joshua A. Boyce

Bibliographic record

VenueJournal of Allergy and Clinical Immunology · 2017
Typearticle
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsBC Children's HospitalUniversity of British Columbia
FundersAgency for Healthcare Research and QualityNational Institutes of Health
KeywordsAddendumAllergyPeanut allergyMedicineFamily medicineEnvironmental healthFood allergyImmunologyPolitical science

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.008
metaresearch head score (Gemma)0.017
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: Empirical · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.017
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0050.002
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0050.002
Research integrity0.0070.011
Insufficient payload (model declined to judge)0.0100.004

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 head0.150
GPT teacher head0.439
Teacher spread0.289 · 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
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

Citations499
Published2017
Admission routes1
Has abstractno

Explore more

Same venueJournal of Allergy and Clinical ImmunologySame topicFood Allergy and Anaphylaxis ResearchFrench-language works237,207