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Record W1560832223 · doi:10.1002/9781118738818.ch47

Culicoides Hypersensitivity: Therapy

2013· other· en· W1560832223 on OpenAlexaff
Anthony Yu

Bibliographic record

Venuenot available
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicVector-Borne Animal Diseases
Canadian institutionsGuelph General Hospital
Fundersnot available
KeywordsCulicoidesMedicineAllergyGenetic predispositionIntensive care medicineImmunologyVeterinary medicineInternal medicineDisease

Abstract

fetched live from OpenAlex

The client must also be educated regarding the chronicity of Culicoides hypersensitivity, the workload involved in multimodal therapy, and realistic expectations for control of the condition. Development of Culicoides hypersensitivity requires a genetic predisposition. There should be a careful evaluation of the horse's lineage to determine if other offspring are also affected, along with a detailed examination of the medical and therapeutic history for evidence of allergies or use of anti-inflammatory medications such as glucocorticoids or antihistamines. The use of environmental larvicides, systemic avermectin and biorational pesticides, have met with either unproven or unfavourable results. A combination of environmental control, insecticide therapy, and topical and/or systemic anti-inflammatory therapy catered to the individual clientele will achieve control of the clinical signs and help to minimize the side effects associated with any one treatment, in particular glucocorticoids.

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: Other · Consensus signal: Other
Teacher disagreement score0.122
Threshold uncertainty score0.997

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)0.0520.003

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 head0.025
GPT teacher head0.210
Teacher spread0.185 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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