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Record W2993282837 · doi:10.15173/m.v1i31.1848

Regulatory T Cells in Allergic Asthma

2018· article· en· W2993282837 on OpenAlexvenueno aff
Mobeen Mubasher

Bibliographic record

VenueThe Meducator · 2018
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsnot available
Fundersnot available
KeywordsAsthmaAllergic asthmaMedicineImmunologyEnvironmental health

Abstract

fetched live from OpenAlex

T regulatory cells (Tregs) are a subset of T cell leukocytes that play a key role in modulating the immune system, maintaining tolerance to self-antigens and suppressing excessive immune responses that go on to harm the host.Much like T helper (Th) cells, Tregs belong to a broader class of CD4+ T cells that develop from pluripotent hematopoietic stems cells in the bone marrow and mature in the thymus.Within the context of allergic asthma, Tregs are central to the process of pulmonary regulation by continuously combatting both immunogenic and harmless antigens. By releasing cytokines such as IL-10 and TGF-ß, Tregs modulate the inflammatory Th2-type immune response which, when dysregulated can drive asthma development as well as the hallmark asthmatic signs- airway hyperresponsiveness,bronchoconstriction, and gland hyperplasia/hypersecretion. This review will explore the function of Tregs as well as their modulatory role within allergic asthma.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.309
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.001

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 head0.013
GPT teacher head0.274
Teacher spread0.261 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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