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Record W2158257034 · doi:10.4297/najms.2011.3103

Hapten may play an important role in food allergen-related intestinal immune inflammation

2011· article· en· W2158257034 on OpenAlexafffund
Zhiqiang Liu, Pingchang Yang

Bibliographic record

VenueNorth American Journal of Medical Sciences · 2011
Typearticle
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsMcMaster University
FundersInstitute of Engineering Research, Seoul National UniversityCanadian Institutes of Health Research
KeywordsHaptenMedicineImmunologyAllergic inflammationInflammationAllergyImmune systemPathogenesisAllergenFood allergyDiseaseEtiologyAntigenPathology

Abstract

fetched live from OpenAlex

There has been a significant increase in the prevalence of allergic diseases especially over the past 2 to 3 decades. However, the etiology and pathogenesis of food allergy are not fully understood. In recent years, with the huge increase in atopic disease, there has also been an increase in dietary hapten exposure. Allergic reactions to chemical haptens occur, in the overwhelming majority of cases, as an inflammatory reaction in the skin to direct contact with haptens. While reactions to haptens on other epithelial surfaces have only rarely been investigated; it is still not clear whether haptens can combine the food antigens and play a role in the induction of food allergen-related inflammation in the intestine. Further research is needed to reveal the underlying mechanism.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.424
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.309
Teacher spread0.272 · 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.

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
Published2011
Admission routes2
Has abstractyes

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