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Record W2077352371 · doi:10.2174/187221308786241965

Seasonal Allergic Rhinitis

2008· review· en· W2077352371 on OpenAlexaff
Alexander K. C. Leung, Kam‐Lun Ellis Hon

Bibliographic record

VenueRecent Patents on Inflammation & Allergy Drug Discovery · 2008
Typereview
Languageen
FieldMedicine
TopicAllergic Rhinitis and Sensitization
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsDermatologyMedicine

Abstract

fetched live from OpenAlex

Seasonal allergic rhinitis is characterized by seasonal rhinorrhea, nasal congestion/stuffiness, nasal and ocular pruritus, and paroxysmal sneezing. Allergen avoidance is the first step in the management. Symptomatic relief and improved quality of life can be achieved in the majority of patients by the appropriate use of pharmacotherapy. Mild to moderate cases can be managed with either an oral/intranasal second generation antihistamine or an intranasal corticosteroid alone. More severe cases may require treatment with an intranasal corticosteroid in combination with various agents. Patients who require medications for more than 6 months per year, two or more seasons of unacceptable pollinosis, or have intolerable side effects from pharmacotherapy, especially those with co-morbid conditions are candidates for immunotherapy. This review article also discusses recent patents related to the field.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.972
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.044
GPT teacher head0.292
Teacher spread0.248 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations20
Published2008
Admission routes1
Has abstractyes

Explore more

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