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Record W7097971299

CIGARETTE IGNITION PROPENSITY TESTING – Second Series By

2007· article· en· W7097971299 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicFire dynamics and safety research
Canadian institutionsnot available
Fundersnot available
KeywordsIgnition systemFilter (signal processing)SmokeMenthol
DOInot available

Abstract

fetched live from OpenAlex

The ignition strength for a total of 54 brands of cigarettes was determined in accordance with the ASTM E2187-02b standard test method. Fifty-two (52) brands of cigarettes sold in Canada and 2 brands of Philip Morris's Merit cigarettes sold in the U.S. were tested. On the 15-layer filter paper assembly, 51 brands of the cigarettes sold in Canada produced 90 to 100% full-length burning. These cigarettes plus those 10 brands of the cigarettes tested previously (which produced 95 to 100% full-length burning) have a relatively high propensity to ignite upholstered furniture if lit and dropped on soft furnishings. These high percentages of full-length burns demonstrate the need to make cigarettes less prone to cause fires. Only 3 brands of the cigarettes tested were found to have a low ignition propensity. The More Menthol cigarettes produced 15% full-length burns on the 15-layer filter paper assembly and 27.5% full-length burns on the 3-layer filter paper assembly. The Merit Ultra Light cigarettes produced 15% full-length burns on the 15-layer filter paper assembly and 45% full-length burns on the 3-layer filter paper assembly. The Merit Ultima cigarettes produced only 5% full-length burns on the 15-layer filter paper assembly. i TABLE OF CONTENTS 1.0

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)0.002
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.004

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 head0.019
GPT teacher head0.216
Teacher spread0.197 · 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 designBench or experimental
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
Published2007
Admission routes1
Has abstractyes

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