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Record W3212213941 · doi:10.1115/imece2000-1561

A New Method for Estimating the Effects of Thermal Radiation From Fires on Building Occupants

2000· article· en· W3212213941 on OpenAlexaff
David A. Torvi, George Hadjisophocleous, Joe Hum

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicFire dynamics and safety research
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsClothingHeat transferThermal radiationEnvironmental scienceThermalComputer scienceArchitectural engineeringSimulationEngineeringMeteorologyMechanics

Abstract

fetched live from OpenAlex

Abstract A new model for estimating the effects of high thermal radiation heat fluxes on occupants has been developed. This model allows the user to specify the type of clothing worn by typical occupants (e.g., street clothing or protective clothing), percentage of body covered by clothing, and occupant characteristics (e.g., age). Numerical models of heat transfer in fabrics and skin are used to estimate the times required to produce burn damage to bare and clothed skin. These skin burn estimates are used along with occupant characteristics to estimate the time-dependent probability of death from a fire. This paper reviews existing models for estimating the effects of high heat fluxes on occupants, describes the heat transfer models used to make skin burn estimates, and compares the results of the new model with those from existing models.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.816
Threshold uncertainty score0.190

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)0.0000.000

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 head0.009
GPT teacher head0.299
Teacher spread0.290 · 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 designSimulation or modeling
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

Citations9
Published2000
Admission routes1
Has abstractyes

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