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Record W2739715548 · doi:10.1111/cod.12860

Accelerator‐free gloves as alternatives in cases of glove allergy in healthcare workers

2017· article· en· W2739715548 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueContact Dermatitis · 2017
Typearticle
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsHotel Dieu Hospital
Fundersnot available
KeywordsMedicineAllergic contact dermatitisHealthcare workerContact dermatitisHealth careAllergyPersonal protective equipmentDermatologyNatural rubberContact allergyMedical emergencySurgeryInternal medicineMaterials scienceDisease

Abstract

fetched live from OpenAlex

BACKGROUND: Accelerators in rubber gloves constitute an important group of contact allergens, particularly in healthcare workers. OBJECTIVES: To assess the efficacy of accelerator-free medical gloves in the secondary prevention of allergic contact dermatitis caused by rubber accelerators in healthcare workers. METHODS: Nine healthcare workers with hand eczema were advised to use accelerator-free rubber gloves after a diagnosis of allergic contact dermatitis caused by rubber accelerators. RESULTS: Switching from conventional medical single-use gloves containing accelerators to accelerator-free medical gloves led to improvement in all cases, and more than two-thirds of the patients were completely free of symptoms. CONCLUSION: The use of accelerator-free medical gloves can be an effective alternative in healthcare workers who are allergic to rubber accelerators.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.319
Teacher spread0.289 · 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