An analytical method for halon alternative selection in fire suppression systems design
Bibliographic record
Abstract
Cleanliness is the priority property of an active fire-extinguishing agent for protection of expensive electronic equipment and high value materials. Halon 1301 was considered the most suitable clean agent to ensure industrial fire safety because it leaves no residue and allows a high level of extinction efficiency and human safety, as with many other extinguishing media. However, over 15 years ago, several studies showed that this agent damages the atmospheric ozone layer and causes global warming. As law has ruled out halon agents, a variety of clean fire suppression alternatives has surfaced over the past decade, but none of these has become the 'perfect' halon substitute. In this paper the analytic hierarchy process (AHP) approach is proposed as a tool to select the best halon alternative for fire protection. A hierarchical structure comprising 19 criteria is reported here to illustrate the performance and characteristics of several halon alternatives in order to define the most suitable agent for different fire risk situations.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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".