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Record W2316103659 · doi:10.1155/2009/757192

Work‐Related Asthma: A Case‐Based Guide

2009· article· en· W2316103659 on OpenAlexaffabout
Susan M. Tarlo, André Cartier, Catherine Lemière

Bibliographic record

VenueCanadian Respiratory Journal · 2009
Typearticle
Languageen
FieldMedicine
TopicOccupational exposure and asthma
Canadian institutionsUniversité de MontréalHôpital du Sacré-Cœur de MontréalCanadian Thoracic SocietyToronto Western Hospital
Fundersnot available
KeywordsMedicineAsthmaStatement (logic)Socioeconomic statusWork (physics)Occupational asthmaFamily medicineWork-upIntensive care medicinePediatricsSurgeryInternal medicineEnvironmental healthLaw

Abstract

fetched live from OpenAlex

Work-related asthma is common yet underdiagnosed. It is a significant cause of morbidity and socioeconomic loss. Diagnosis is often difficult, and requires a strong index of suspicion and careful investigation. The Canadian Thoracic Society has endorsed the recent American College of Chest Physicians consensus statement on work-related asthma. The present document illustrates the advised approach to diagnosis and management of work-related asthma using case-based examples of occupational asthma and work-exacerbated asthma. The main statements of advice from the American College of Chest Physicians consensus statement are reproduced with permission.

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)0.004
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: Methods · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0080.002
Science and technology studies0.0020.001
Scholarly communication0.0020.004
Open science0.0030.002
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0280.014

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 head0.021
GPT teacher head0.282
Teacher spread0.261 · 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
GenreMethods

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

Citations8
Published2009
Admission routes2
Has abstractyes

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