Application of a Newly-Developed Compressed-Airfoam
Bibliographic record
Abstract
this document is published in / Une version de ce document se trouve dans Interflam 2001, 9 th International Fire Science and Engineering Conference, Edinburgh, UK, Sept. 17-19, 2001, pp. 1219-1224 www nrc ca/irc/ircpubs www.nrc.ca/irc/ircpubs APPLICATION OF A NEWLY-DEVELOPED COMPRESSED-AIR-FOAM FIRE SUPPRESSION SYSTEM Andrew K. Kim and George P. Crampton Fire Risk Management Program Institute for Research in Construction National Research Council Canada Ottawa, Ontario, CANADA, K1A 0R6 SUMMARY National Research Council (NRC), in collaboration with National Defence Canada (DND), has initiated a project to investigate the feasibility of using a newly-developed compressedair -foam (CAF) fire suppression system to provide fire safety protection to aircrafts and hangar structures. Previous research has indicated that such an objective can be met if the fire suppression system achieves 90% control of the fire in 30 s and extinguishment in 60 s
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".