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Record W6948062315 · doi:10.4224/20378836

Kemano Fire Studies: Part 2: response of a residential sprinkler system

2002· report· en· W6948062315 on OpenAlexvenueno aff

Bibliographic record

VenueNPARC · 2002
Typereport
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSynthesis and Biological Activity
Canadian institutionsnot available
Fundersnot available
KeywordsBedroomSmokeFire detectionFire protectionRecreationArc flashSquare (algebra)Firefighting

Abstract

fetched live from OpenAlex

NRC's Fire Risk Management Program has completed an experimental study of a residential sprinkler system, using the unique opportunity of the Kemano Public Safety Initiative. A series of full-scale suppression experiments were conducted in Kemano, a deserted town in northern British Columbia. A wood-framed bi-level house (900 square feet per floor, 1800 square feet total) was used for the evaluation of a cross-linked-polyethylene (PEX-a) pipe sprinkler system. A residential sprinkler system with 11 quick response sprinkler heads (temperature rating of 68.3 degrees C or 155 degrees F) was designed and installed (in accordance with NFPA 13D) in a basement recreation room and throughout the main floor. The system was designed to prevent flashover in the room where fire originated and to allow response time for the fire department. The sprinkler system was tested four times for two fires originating in a basement recreation room, and one time each for the ground floor bedroom and the living room. Smoke detectors, carbon monoxide detectors and heat detectors were installed in the experimental house. The observations made included temperatures in the fire room and egress route. CO and CO2 conentrations, activation times of sprinklers and smoke, heat and CO detectors, and video records of smoke movement.

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)0.001
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.062
GPT teacher head0.305
Teacher spread0.243 · 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
Published2002
Admission routes1
Has abstractyes

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