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Record W2779712121 · doi:10.1007/s00005-017-0501-7

Allergen-Specific T Cells in IgE-Mediated Food Allergy

2017· review· en· W2779712121 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueArchivum Immunologiae et Therapiae Experimentalis · 2017
Typereview
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsSickKids FoundationUniversity of TorontoHospital for Sick Children
Fundersnot available
KeywordsImmunologyFood allergyAllergyAllergenImmunoglobulin EMedicineContext (archaeology)SensitizationEffectorAnaphylaxisAntibodyBiology

Abstract

fetched live from OpenAlex

T cells have a pivotal role in causing and maintaining the allergic response to food allergens. The purpose of this review is to provide an overview on the role of allergen-specific T cells in food allergy during allergic sensitization, natural tolerance development and allergen immunotherapy. Allergen-specific T cells in the context of food allergy are predominantly of a Th2 type with slightly different surface marker expression patterns in different food allergies. During the process of reverting food allergy to a status of tolerance or sustained unresponsiveness there is a loss of this Th2 committed compartment with an asymptotic approximation to a regulatory and Th0/Th1 dominated compartment seen in non-allergic individuals. This process is accompanied by a significant reduction of absolute frequencies of allergen-specific T cells. Particularly, regulatory T cells may provide significant help to achieve sustained control of the effector cell populations via suppression of effector cell function and possibly induction of blocking antibodies.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.981
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.140
GPT teacher head0.402
Teacher spread0.262 · 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