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Record W1964607626 · doi:10.1080/15428110208984752

Exposure to Formaldehyde Among Animal Health Students

2002· article· en· W1964607626 on OpenAlexaff
A. Dufresne, Claire Infante‐Rivard, Malo Jl, Denyse Gautrin

Bibliographic record

VenueAIHA Journal · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicIndoor Air Quality and Microbial Exposure
Canadian institutionsMcGill UniversityHôpital du Sacré-Cœur de MontréalMcGill University Health Centre
Fundersnot available
KeywordsFormaldehydeToxicologySession (web analytics)Environmental chemistryEnvironmental healthChemistryMedicineBiologyOrganic chemistry

Abstract

fetched live from OpenAlex

The objective of the present study was to evaluate the exposure to formaldehyde in 2 groups each with 18 students in animal health technology from two different training centers (TC) during a 3-hour weekly laboratory session in biology. Personal sampling during the session was done with passive bubblers for formaldehyde. The analysis of formaldehyde was done by visible absorption spectrometry according to NIOSH method 3500. The students in TC 1 were exposed to formaldehyde levels ranging from less than 0.11 to 0.76 mg/m3 with an average at 0.25 mg/m3 during the 3-hour biology laboratory. The students in TC 2 were exposed to higher concentrations of formaldehyde ranging from 0.26 to 1.2 mg/m3 with an average at 0.632 mg/m3. The results of the survey indicate that the students in both centers were exposed to a notable amount of formaldehyde vapor, at a level that is above the threshold limit value.

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.017
GPT teacher head0.262
Teacher spread0.245 · 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

Citations8
Published2002
Admission routes1
Has abstractyes

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