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Record W2391897031

Review on Experimental Regulations for Combustion Performance of Building Materials and Products

2007· article· en· W2391897031 on OpenAlexaboutno aff
Feng Li

Bibliographic record

VenueZhongguo anquan kexue xuebao · 2007
Typearticle
Languageen
FieldEngineering
TopicFire dynamics and safety research
Canadian institutionsnot available
Fundersnot available
KeywordsCombustibilityFlammabilityCone calorimeterFire retardantFire safetyWaste managementCombustionCeiling (cloud)European unionEngineeringForensic engineeringEnvironmental scienceArchitectural engineeringCivil engineeringMaterials scienceBusinessComposite materialStructural engineeringChemistry
DOInot available

Abstract

fetched live from OpenAlex

Experimental regulations for flammability of building materials and products are critical to ensure the safety of occupants in buildings and other structures. The developing and current status of regulations for flammability of building materials and products in the United State, Canada, European Union, Japan and China has been introduced, analyzed and compared. The result shows that the requirements and testing methods for flammability of building materials are similar between the United State and Canada, and they mainly are engaged in the test of combustibility and flame spread. In European Union, a new classification system for flammability of building materials was implemented in 2001, which includes two systems; one is for floor coverings and the other for all other building units. In Japan, the interior materials are classified into non-combustible, quasi noncombustible and fire-retardant materials according to Cone Calorimeter method (ISO 5660). China has established a non-combustible test, a three-class classification system for combustible wall and ceiling interior finishing materials and a two-class classification system for combustible floor coverings.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.430

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.023
GPT teacher head0.291
Teacher spread0.269 · 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 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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