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Record W3115184168 · doi:10.1097/aci.0000000000000716

New causes of immunologic occupational asthma 2014–2020

2020· article· en· W3115184168 on OpenAlexaff
André Cartier

Bibliographic record

VenueCurrent Opinion in Allergy and Clinical Immunology · 2020
Typearticle
Languageen
FieldMedicine
TopicOccupational exposure and asthma
Canadian institutionsUniversité de MontréalHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsMedicineAsthmaOccupational asthmaEnvironmental healthIntensive care medicineAgricultureImmunology

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: The purpose of this review was to list all new confirmed cases of immunological occupational asthma (IOA) described between mid-2014 and April 2020. RECENT FINDINGS: Several new agents, both of high and low molecular weight, have been identified in the last 6 years as potential respiratory sensitizers being able to induce immunological occupational asthma. This review confirms that new causes of IOA are still identified regularly, particularly in subjects exposed to high molecular agents, in the food industry (farming, pest control, food processing), pharmaceutical industry (antibiotics, various drugs) and cosmetic environment (dyes, powders). SUMMARY: It stressed the need for clinicians to stay alert and suspect occupational asthma in any adult with new onset asthma or newly uncontrolled asthma.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.270
Threshold uncertainty score0.690

Codex and Gemma teacher scores by category

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

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 head0.089
GPT teacher head0.401
Teacher spread0.312 · 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 teacher head, 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

Citations4
Published2020
Admission routes1
Has abstractyes

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