Decomposition of the most potent greenhouse gas (G<scp>HG</scp>) sulphur hexafluoride (S<scp>F</scp><sub>6</sub>) using a dielectric barrier discharge (D<scp>BD</scp>) plasma
Bibliographic record
Abstract
Abstract A DBD method has been developed to decompose sulphur hexafluoride (SF6) nearly 100% under conditions close to the exhaust gas in industries with energy efficiency of 0.015–0.15 GJ/ton carbon dioxide (CO2) equivalent, 1–2 orders of magnitude higher than CO2 capture and sequestration from power generation boilers. A typical test condition was SF6: 820 ppm; CO2/air: 50/50; gas flow rate: 623 mL/m at 25°C; AC voltage: 17–23 kV p–p; AC frequency: 7 kHz. The success of this project was due to the development of highly effective star‐shaped discharge elements and an improved design of the DBD system, that is mode of applying voltage, the physical aspects of the reactor.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 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".