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Record W6997226796

Un outil d'aide à la prise de décision pour choisir une protection respiratoire contre les bioaérosols

2015· article· fr· W6997226796 on OpenAlexaff

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldEnvironmental Science
TopicIndoor Air Quality and Microbial Exposure
Canadian institutionsUniversité de MontréalInstitut de recherche Robert-Sauvé en santé et en sécurité du travail
Fundersnot available
KeywordsContext (archaeology)Coronavirus disease 2019 (COVID-19)Work safety
DOInot available

Abstract

fetched live from OpenAlex

Cet outil d’aide à la prise de décision pour choisir une protection respiratoire contre les bioaérosols vise à soutenir les intervenants dans le choix d’une protection respiratoire contre les bioaérosols infectieux ou non infectieux présents dans différents milieux de travail ; une tâche qui peut s’avérer complexe, notamment en raison de l’absence de normes d’exposition aux bioaérosols. Il est destiné aux intervenants en hygiène industrielle et en santé et sécurité du travail ainsi que les professionnels de la santé et les médecins dans divers secteurs comme : la santé l'agriculture les industries les municipalités les commerces et autres. L'outil est composé d'une démarche en six étapes qui utilise la gestion graduée du risque, fondée sur le danger associé aux bioaérosols et le niveau d’exposition des travailleurs. Plusieurs exemples tirés d’études de cas illustrent la démarche.

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)0.023
metaresearch head score (Gemma)0.025
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: Methods · Consensus signal: Methods
Teacher disagreement score0.023
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.025
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.006
Scholarly communication0.0130.006
Open science0.0030.007
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0190.004

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 head0.046
GPT teacher head0.262
Teacher spread0.216 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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