MétaCan
Menu
Back to cohort
Record W4288736486 · doi:10.2500/jfa.2022.4.220012

Food allergy: Symptoms and diagnosis

2022· article· en· W4288736486 on OpenAlexaff
Elissa M. Abrams

Bibliographic record

VenueJournal of Food Allergy · 2022
Typearticle
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsAnaphylaxisFood allergyMedicineAllergyEpinephrineContext (archaeology)Immunoglobulin EAllergic reactionImmunologyDermatologyIntensive care medicineInternal medicineAntibody

Abstract

fetched live from OpenAlex

Food allergy is common and has increased in prevalence over time. Although there are many types of reactions to foods, immunoglobulin E (IgE) mediated food allergy is acute in onset and resolves quickly, and is reproducible in nature. Anaphylaxis is the most severe form of IgE-mediated food allergy and has a range of clinical manifestations. First-line food allergy diagnostic testing is sensitive but not specific and should only be done in the context of a convincing history of a reaction. Oral food challenge is the criterion standard in diagnosis but carries the risk of a reaction. The only therapy for anaphylaxis is immediate intramuscular epinephrine. Traditional management of food allergy consists of avoidance management, with strict avoidance, reading labels, and carrying an epinephrine autoinjector at all times. Although effective, accidental reactions do occur, and this management strategy has a profound impact on quality of life.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.006

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 head0.022
GPT teacher head0.273
Teacher spread0.251 · 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
GenreReview

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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Food AllergySame topicFood Allergy and Anaphylaxis ResearchFrench-language works237,207