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Inflammatory patterns in allergic rhinitis

2006· article· en· W2081665486 on OpenAlexaff
Susan Foley, Qutayba Hamid

Bibliographic record

VenueClinical & Experimental Allergy Reviews · 2006
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsMcGill UniversityChristie (Canada)
Fundersnot available
KeywordsEotaxinImmunologyTryptaseChemokineImmunoglobulin EMast cellCell adhesion moleculeAllergic inflammationAllergenInterleukin 5Interleukin 33EosinophilMucous membrane of noseAllergic responseChemotaxisMedicineInflammationAllergyInterleukinCytokineAsthmaReceptorAntibody

Abstract

fetched live from OpenAlex

Summary Allergic rhinitis results from allergen‐triggered early and late responses that are mediated by an array of inflammatory cells and mediators. Exposure to allergen induces the proliferation of T‐helper type 2 (Th2) lymphocytes in allergic individuals leading to the subsequent release of a characteristic combination of cytokines that promotes IgE and mast cell production. Within the allergic epithelium, there is proliferation of mucosal mast cells that express IL‐4, IL‐5, IL‐6 and tryptase. The resultant inflammatory mediators and cytokines enhance endothelial expression of adhesion molecules, such as vascular cell adhesion molecule‐1. Chemoattractants, such as eotaxin, RANTES and IL‐5, are responsible for the characteristic infiltration of the nasal mucosa by eosinophils, basophils, mast cells and Th2 lymphocytes that is seen in the late‐phase allergic response.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.679
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.049
GPT teacher head0.377
Teacher spread0.328 · 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

Citations4
Published2006
Admission routes1
Has abstractyes

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