MétaCan
Menu
Back to cohort
Record W1520498891 · doi:10.6028/nist.ir.6525

Fire safety of passenger trains; phase II:

2002· report· en· W1520498891 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicFire dynamics and safety research
Canadian institutionsBombardier (Canada)
FundersNational Institute of Standards and TechnologyOffice of Research and DevelopmentFederal Railroad AdministrationU.S. Department of Transportation
KeywordsCrewTrainEngineeringTransport engineeringHazardAeronauticsAutomotive engineeringHazard analysisFire hazardPoison controlFire safetyIgnition systemEnvironmental scienceReliability engineeringCivil engineeringAerospace engineering

Abstract

fetched live from OpenAlex

A comprehensive multi-phase fire safety research program is being conducted by the National Institute of Standards and Technology to demonstrate the practicality and effectiveness of heat release rate-based test methods and hazard analysis techniques when applied to passenger train fire safety. The results of Phase II of the program which focused on the application of hazard analysis techniques using heat release rate data and computer modeling to evaluate passenger rail car fire performance is presented. In addition to materials, the impact of car geometry, detection and suppression systems, and egress time on the safety of passengers and crew for representative intercity passenger coach, dining, and sleeping rail car designs were evaluated.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.805
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.037
GPT teacher head0.298
Teacher spread0.262 · 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

Quick stats

Citations32
Published2002
Admission routes1
Has abstractyes

Explore more

Same topicFire dynamics and safety researchFrench-language works237,207