MétaCan
Menu
Back to cohort
Record W7100079761

Consideration of reliability and performance of fire protection systems in FiRECAM™

2000· article· en· W7100079761 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicFire dynamics and safety research
Canadian institutionsnot available
Fundersnot available
KeywordsReliability (semiconductor)Fire protectionFire safetyFire detectionFirefightingActive fire protectionBuilding codeSmoke
DOInot available

Abstract

fetched live from OpenAlex

Reliability and performance of fire protection systems in a building are important considerations in the new objective/performance-based code environment. An increased reliability and performance would provide a higher level of life safety to the occupants. To help designers and building officials assess the impact of reliability and performance of fire protection systems, assessment tools are essential. In this paper, the computer fire risk-cost assessment model that is being developed at the National Research Council of Canada (NRC) is used to show, as an example, how the impact of reliability of fire alarms and automatic sprinklers on life safety in a building can be quantitatively assessed. The NRC model is called FiRECAM^TM (Fire Risk Evaluation and Cost Assessment Model). FiRECAM^TM evaluates the life risks to the occupants and fire costs as a result of all probable fires in a building and by simulating the dynamic interaction of fire growth, smoke movement, occupant response and fire department intervention. These interactions are affected by the reliability of fire alarms and automatic sprinklers, as well as the performance of other fire protection systems that are installed. KEYWORDS Fire protection, life safety, reliability, alarms, sprinklers

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.189
Threshold uncertainty score0.197

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 head0.017
GPT teacher head0.228
Teacher spread0.211 · 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

Citations0
Published2000
Admission routes1
Has abstractyes

Explore more

Same topicFire dynamics and safety researchFrench-language works237,207