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Record W7019850215

Immunotherapy of allergic disorders in a mouse model of allergic airway inflammation

2006· dissertation· en· W7019850215 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOnline Publication Service of Würzburg University (Würzburg University) · 2006
Typedissertation
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsnot available
Fundersnot available
KeywordsAsthmaAllergyIncidence (geometry)Developed countryDiseaseLatin AmericansRespiratory tractGlobal health
DOInot available

Abstract

fetched live from OpenAlex

A more serious syndrome is allergic asthma, which is triggered by allergen-induced activation of submucosal mast cells in the lower airways (Janeway et al., 2001).Allergic asthma is a chronic inflammatory disease of the respiratory tract with rising incidence and prevalence in industrial countries.According to the World Health Organization, asthma affects 150 million people worldwide and is the most prevalent chronic disease of childhood (Epstein M., 2004).Asthma morbidity and mortality have increased over the last two decades, particularly in western countries (Beasley et al., 2000).Among children, higher prevalence rates have been found in industrialized Western countries than in developing countries in Asia and Africa (Beasley et al., 2000).In the Middle East, asthma prevalence is reported to be lower than in developed countries (Behbehani et al., 2000).The International Study of Asthma and Allergies in Childhood (ISAAC) was the first study carried out worldwide using standardized questionnaires in order to create a reliable global map of childhood allergy.They studied 257.800 children aged 6 to 7 years in 38 countries, and 463.801 children aged 13 to 14 years in 56 countries including Europe, Asia, Africa, Australia, North and South America.The prevalence of rhinitis with itchy-watery eyes (rhinoconjunctivitis) in 1996 varied across centres from 0.8 -14.9% in the 6-7 year-olds and from 1.4 -39.7% in the 13-14 year-olds (Strachan et al., 1997).Wheezing prevalence (indicative of asthma) ranged from 4.1 to 32.1% in the younger age group and from 2.1 to 32.2% in the older age group and was particularly high in English speaking countries and Latin America (Asher and ISAAC Committee, 1998).Allergic asthma is a common medical problem faced by emergency units and intensive care specialists.Data from Australia, Canada and Spain have reported that allergic asthma accounted for 1 to 12% of all adult emergency visits (Rodrigo et al.,2004).It is estimated that there are 18 asthma-related deaths per million people and 180,000 deaths per year (WHO, 2000).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.225
Teacher spread0.216 · 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