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Record W1985622955 · doi:10.3402/ijch.v63i0.17930

Prevalence of crab asthma in crab plant workers in Newfoundland and Labrador

2004· article· en· W1985622955 on OpenAlexaffabout
André Cartier, Samuel B. Lehrer, Lise Horth-Susin, Mark C. Swanson, Barbara Neis, Dana Howse, Michael Jong

Bibliographic record

VenueInternational Journal of Circumpolar Health · 2004
Typearticle
Languageen
FieldMedicine
TopicOccupational exposure and asthma
Canadian institutionsMemorial University of NewfoundlandHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsAsthmaAtopyFisherySnowMedicineAllergyGeographyBiologyImmunology

Abstract

fetched live from OpenAlex

OBJECTIVES: The aim of the study was to determine the prevalence of snow crab sensitisation and occupational asthma. STUDY DESIGN: Prevalence study of symptoms, pulmonary function testing and allergy testing to crab was conducted in four crab plants of different design in Newfoundland and Labrador, Canada. METHODS: Plants workers in four crab plants were interviewed and offered skin testing, RAST, pulmonary function testing and peak flow monitoring before and during crab processing. RESULTS: 38% (n=78) had atopy. 18% (n=39) had certain or highly probable crab asthma. The prevalence of sensitisation in different crab plants varied from 50% (n=19) to 15% (n=16) and the prevalence of certain or highly probable crab asthma varied from 50% (n=19) to 9% (n=3). CONCLUSION: Crab asthma and sensitisation to snow crab is a major health problem for snow crab plant workers in Newfoundland and Labrador.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.310
Threshold uncertainty score0.625

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.307
Teacher spread0.294 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations25
Published2004
Admission routes2
Has abstractyes

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