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Record W2097494964 · doi:10.1002/9781119086512.ch17

Inflammatory Airway Disease

2015· other· en· W2097494964 on OpenAlexaff
Mathilde Leclère, Jean‐Pierre Lavoie

Bibliographic record

Venuenot available
Typeother
Languageen
FieldVeterinary
TopicVeterinary Equine Medical Research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineBronchoalveolar lavageAirwayDiseaseInflammationImmunologyIntensive care medicineLungPathologyInternal medicineAnesthesia

Abstract

fetched live from OpenAlex

This chapter discusses the clinical signs, immunologic mechanisms and etiologic associations, diagnostics, treatments and prevention, and prognosis and clinical outcomes of inflammatory airway disease (IAD) in horses. It also describes the types of bronchoalveolar lavage fluid inflammation and cytokine profile, and explains the links between IAD and heaves, and the links between IAD and exercise-induced pulmonary hemorrhage (EIPH). IAD is a common condition of horses characterized by airway inflammation, alterations in pulmonary function, and the presence of one or more clinical signs of respiratory disease. Current treatment recommendations are directed at decreasing exposure to environmental dust particles (irritant and potential allergens), in conjunction with steroidal anti-inflammatory drugs and bronchodilators. It is likely that horses that eventually develop heaves are initially diagnosed as having IAD and, although clinical signs can be controlled in most cases, there is no curative treatment.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.129
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 science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1560.027

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 head0.100
GPT teacher head0.393
Teacher spread0.293 · 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
GenreOther

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
Published2015
Admission routes1
Has abstractyes

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