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Record W4406091008 · doi:10.58931/cait.2024.4372

Occupational Asthma Management

2024· article· en· W4406091008 on OpenAlexaff
Susan M. Tarlo

Bibliographic record

VenueCanadian allergy & immunology today. · 2024
Typearticle
Languageen
FieldMedicine
TopicOccupational exposure and asthma
Canadian institutionsToronto Western HospitalSt. Michael's Hospital
Fundersnot available
KeywordsAsthmaOccupational asthmaBusinessAsthma managementMedicineImmunology

Abstract

fetched live from OpenAlex

Occupational asthma is defined as asthma that is caused by work exposures, accounting for approximately 10-15% of all new-onset adult asthma. Typically, this is a new-onset of asthma in workers with no previous history of asthma. However, the diagnosis may also be made in individuals who had previous childhood asthma that cleared, then recurred as an adult due to work exposure. In contrast, work-exacerbated asthma is defined as asthma that is exacerbated but not caused by work exposures. Occupational asthma can be caused by different mechanisms (Figure 1). It is most often due to a workplace sensitizer, which is a high- or low-molecular weight agent that causes asthma from an immunologic response. Asthma symptoms do not occur on the first exposure. Instead, they require a period ranging from days to years for sensitization. Once sensitized, subsequent exposures, even to very low levels of exposure, will trigger asthma. When this response is due to high-molecular weight sensitizers, which are typically proteins or glycoproteins, it is associated with specific IgE antibodies. In addition, specific IgE-antibodies are also associated with the response to some low molecular-weight sensitizers (chemical sensitizers) such as complex platinum salts and other metal salts. However, for most low-molecular weight sensitizers, the immune mechanism is unclear.

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)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.027
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0270.008

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 head0.009
GPT teacher head0.252
Teacher spread0.242 · 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
GenreOther

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

Citations0
Published2024
Admission routes1
Has abstractyes

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