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Record W2078966303 · doi:10.7861/clinmedicine.3-4-303

Allergy: the unmet need

2003· editorial· en· W2078966303 on OpenAlexaff
TH Lee

Bibliographic record

VenueClinical Medicine · 2003
Typeeditorial
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsMedicineIntensive care medicineAllergyFamily medicineImmunology

Abstract

fetched live from OpenAlex

The Royal College of Physicians Working Party report on the provision of allergy services in the UK, Allergy -the unmet need: a blueprint for better patient care, 1 was launched on 25 June.This excellent report was the result of detailed discussion and consultation between a multidisciplinary group of healthcare professionals, which included allergists, clinical immunologists, dermatologists, chest physicians, general practitioners, specialist nurses, dietitians, epidemiologists and pharmacologists.The Working Party also included representatives from patient organisations, the Department of Health and the Royal College of Physicians.To inform the Working Party, the British Society for Allergy and Clinical Immunology (BSACI) commissioned two pieces of research, on the prevalence of allergic disease and on GPs' attitudes to and knowledge of allergy, the

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)0.007
metaresearch head score (Gemma)0.025
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.030
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.025
Meta-epidemiology (narrow)0.0050.002
Meta-epidemiology (broad)0.0060.003
Bibliometrics0.0040.003
Science and technology studies0.0030.003
Scholarly communication0.0090.006
Open science0.0040.002
Research integrity0.0300.037
Insufficient payload (model declined to judge)0.0140.012

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 head0.040
GPT teacher head0.386
Teacher spread0.346 · 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
GenreEditorial

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

Citations42
Published2003
Admission routes1
Has abstractno

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