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Record W2396322852 · doi:10.7748/ns.30.39.44.s44

Identifying and managing Hymenoptera venom allergy

2016· article· en· W2396322852 on OpenAlexaff
Patricia Kane Matron, Victoria Timms, Róisín Fitzsimons

Bibliographic record

VenueNursing Standard · 2016
Typearticle
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsAnaphylaxisVenomMedicineAllergyPopulationImmunoglobulin EIncidence (geometry)ImmunologyIntensive care medicineAntibodyBiologyEnvironmental health

Abstract

fetched live from OpenAlex

Hymenoptera venom allergy is an immunoglobulin E (IgE)-mediated hypersensitivity to the venom of insects from the Hymenoptera order and is a common cause of anaphylaxis. A diagnosis of venom allergy is made by taking an accurate medical, family and social history, alongside specific allergy testing. Systemic reactions to Hymenoptera venom occur in a small proportion of the population; these range from mild to life-threatening in severity. Treatment for local reactions involves the use of cold packs, antihistamines, analgesia and topical corticosteroids to help alleviate swelling, pain and pruritus. Venom immunotherapy is the treatment of choice for reducing the incidence of future anaphylactic reactions in individuals who have signs of respiratory obstruction or hypotension. Venom immunotherapy is the most effective treatment in reduction of life-threatening reactions to venom, and can improve quality of life for individuals. Treatment should only be provided by experienced staff who are able to provide emergency care for anaphylaxis and life-threatening episodes. A risk assessment to deliver treatment should be undertaken before treatment is commenced.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.002

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 head0.026
GPT teacher head0.329
Teacher spread0.303 · 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 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

Citations2
Published2016
Admission routes1
Has abstractyes

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