Sustainable Material Approach to Safer Fire Extinguishers
Bibliographic record
Abstract
: The world considers environmental concerns a top-notch priority and strictly finds ecofriendly ways to bring transformations. The widely used class of fire extinguishers, halons, has been extensively used for decades until they were acknowledged for producing hazardous components like HF, HCl, HBr, and COF2 and causing ozone depletion. This creates a surge in the search for a competent substitute with reduced toxins, easing the environmental burden. So, this review discusses the significance of halons, their existence, phase-out, and alternate substitutes in detail. To reduce ozone depletion potential and global warming potential, the Montreal Protocol announced a ban on halons and promoted the search for its replacements by either introducing the use of HFCs and perfluorocarbons having zero ODP, or modifying them by gelling them with dry powders, gelling agents, surfactants, and antiflatulents. The thorough composition of gelled halocarbons proposed as efficient fire extinguishant alternatives is also disclosed here.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".