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Record W7056985527

Genetic and environmental influences on asthma susceptibility in developing lung

2011· dissertation· en· W7056985527 on OpenAlexaff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2011
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsMcGill UniversityMcGill Genome Centre
Fundersnot available
KeywordsAsthmaAtopyRespiratory systemRespiratory diseaseIn uteroLungGenetic predisposition
DOInot available

Abstract

fetched live from OpenAlex

Asthma is a worldwide health problem and leading cause of childhood morbidity. The increasing prevalence of asthma places importance on understanding the biological mechanisms behind this complex disease. Considerable evidence suggests that asthma originates early in life. Environmental allergen exposures acting on a genetic background susceptible to asthma, may modify innate patterns of respiratory development and gene expression, facilitating the initiation of disease. The origins of asthma susceptibility and the influence of in utero allergen exposure on respiratory development were studied in rat models of atopy (Brown Norway [BN]) and airway hyperresponsiveness (Fisher). BN animals demonstrated increased epithelial proliferation, goblet cell hyperplasia, elevated eosinophils and IgE levels. Fisher rats displayed increased lung resistance and elevated neutrophils. The distinct respiratory phenotypes and gene expression patterns demonstrated were impacted by in utero allergen exposure, influencing asthma susceptibility. Studying causes of asthma susceptibility during this critical period has implications for asthma treatment and prevention.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0030.000

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 head0.013
GPT teacher head0.247
Teacher spread0.234 · 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 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

Citations0
Published2011
Admission routes1
Has abstractyes

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