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Record W4415493213 · doi:10.1097/jom.0000000000003590

A New Firefighting Simulation on a Treadmill in a Temperate Environment Induces Similar Physiological Responses to Those Reported for Live Fire Drills

2025· article· en· W4415493213 on OpenAlexaff
Philippe Gendron, Philémon Marcel-Millet, Nicolas Pamart, Frédéric Croteau-Caron, G. A. Watkins, Kamille Roy, Thomas Sire, Félix Bergeron, Emy Carier

Bibliographic record

VenueJournal of Occupational and Environmental Medicine · 2025
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Performance
Canadian institutionsUniversité de MontréalUniversité LavalMontreal Heart InstituteUniversité du Québec à Trois-RivièresUniversité du Québec à Montréal
Fundersnot available
KeywordsFirefightingTreadmillTemperate climateWildfire suppression

Abstract

fetched live from OpenAlex

OBJECTIVE: The purpose was to characterize the physiological responses resulting from a newly developed treadmill firefighting simulation and to compare these responses with those induced by live fire and simulated firefighting activities reported in different studies. METHODS: Forty participants (four women) (25 ± 6 years) performed a 25-minute treadmill firefighting simulation that consisted of various tasks completed on a typical work-rest cycle at an imposed rhythm in a temperate environment (ambient temperature: 22.6°C ± 0.6°C, relative humidity: 29.7% ± 11.6%). RESULTS: Rectal temperature increased by 0.56°C ± 0.15°C; peak and mean oxygen consumption were 35.3 ± 3.3 and 20.8 ± 1.7 mL·kg -1 ·min -1 , respectively; and 1169 ± 182 L of air was used. CONCLUSION: These results show that the treadmill firefighting simulation induces similar physiological responses to those reported for live fire and simulated firefighting scenarios.

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)0.001
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 score0.126
Threshold uncertainty score0.427

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.153
GPT teacher head0.471
Teacher spread0.318 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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