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Record W2124797704

Evaluation of the sensitisation to grains and its pulmonary impact in employees of the port of Brest silos.

2013· article· en· W2124797704 on OpenAlexaboutno aff
David Lucas, Brice Loddé, Richard Pougnet, Jean‐Dominique Dewitte, Dominique Jégaden

Bibliographic record

VenuePubMed · 2013
Typearticle
Languageen
FieldMedicine
TopicOccupational exposure and asthma
Canadian institutionsnot available
Fundersnot available
KeywordsSpirometrySiloMedicineVentilation (architecture)Port (circuit theory)AsthmaOccupational exposureEnvironmental healthPopulationToxicologyInternal medicineEngineering
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Evaluation of the sensitisation and levels of exposure to grains and its pulmonary impact ina population of Brest port silo employees. MATERIALS AND METHODS: We included exposed workers. The study consisted of clinical examination witha standardised questionnaire, blood samples, prick-tests, and spirometry tests. The atmospheric concentrationof total dust in the workplace was also associated. RESULTS: Eight workers were included in the study. No case of occupational asthma was found, but 3 casesof occupational rhinitis were noted and occupational prick-tests were positive in 4 cases. The mean totaldust concentration in the three atmospheric samples was 4.87 mg/m3 for 8 hours but it was under thedetection limits for alveolar fractions. CONCLUSIONS: Port silo workers are exposed to total dust concentrations below the French legal limit (10 mg/m3) but higher than Canadian and American recommendations. Levels of exposure in our studyare similar to other studies developed in port silos. Symptoms developed by workers may be due to highexposure to dust with an irritant effect rather than an allergic effect. Despite this fact, a specific medicalsurvey is needed, and ventilation and respiratory masks have to be promoted for prevention.

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)0.001
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 score0.077
Threshold uncertainty score0.103

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.036
GPT teacher head0.282
Teacher spread0.246 · 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

Citations6
Published2013
Admission routes1
Has abstractyes

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