Review on Experimental Regulations for Combustion Performance of Building Materials and Products
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".