MétaCan
Menu
← Back to cohort
Record W7049392911

North American road tunnel fire detection research project

2006· article· en· W7049392911 on OpenAlexaffvenue

Bibliographic record

VenueNPARC · 2006
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsFire detectionFire protection engineeringFire testFire protectionBenchmark (surveying)Fire safetyScale (ratio)
DOInot available

Abstract

fetched live from OpenAlex

A study to investigate the performance of fire detection systems in roadway tunnels was initiated by the Fire Protection Research Foundation in 1999. A Technical Advisory Group consisting of fire and transportation officials, engineering firms, researchers, and system manufacturers was formed to oversee the project, whose overall goals are:- Investigate the performance attributes of current fire detection technologies for roadway tunnel protection;- Develop performance criteria for fire and smoke detection systems in roadway tunnel applications;- Help optimize the technical specifications and installation requirements for this application.The first phase of this project that was completed recently was a literature review of past and current research and application of fire detection systems for road tunnel protection. Based on this study, a second phase of the research program with the following objectives was launched in November 2005:- Develop appropriate design fire scenarios and test protocols for evaluating performance of road tunnel detectors;- Conduct full-scale tunnel fire tests to document the performance of currently available fire detection technologies under challenging tunnel fire scenarios;- Analyze technical data and conduct computational modeling to help understand and optimize the technical specifications and installation requirements for application of fire detection technologies in road tunnels;- Evaluate environmental effects in real tunnel environments on system performance;- Benchmark full scale fire research scenarios against data from demonstration fire tests;- Provide technical data to standards and code writers for the development of guidelines for application of fire detection technologies in road tunnels.The paper will present a summary of the first phase literature study, a progress report on the second phase of the research program, and an update on roadway tunnel research and standards development activities in North America.

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)0.005
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.060
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.004

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 head0.025
GPT teacher head0.310
Teacher spread0.285 · 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

Citations0
Published2006
Admission routes2
Has abstractyes

Explore more

Same venueNPARC→Same topicMagnetic confinement fusion research→French-language works237,207→