Dynamic decomposition of arced SF/sub 6/ by-products on activated alumina
Bibliographic record
Abstract
The dynamic interaction of SOF/sub 2/ with activated alumina has been studied at 298 K in adsorption experiments. The SOF/sub 2/ adsorption process occurs in three distinct regimes related to the available adsorption sites on alumina. The first regime is an adsorption-reaction process where the change observed in the gas phase is essentially a sharp decrease in the amount of SOF/sub 2/. During the SOF/sub 2/ adsorption on alumina, an important fraction of the adsorbed phase is converted into SO/sub 2/. On saturation of the alumina surface with SOF/sub 2/, the amount of desorbing SO/sub 2/ starts to increase in the gas phase as the amount of SOF/sub 2/ decreases. This second regime is characterized by a competitive adsorption-desorption process which involves the adsorption of SOF/sub 2/ simultaneously with the desorption of SO/sub 2/ from a same site. The last regime consists of stabilization in the production of SO/sub 2/ in the gas phase, which could correspond to its equilibrium with the SO/sub 2/-SOF/sub 2/ adsorbed mixture. The typical SOF/sub 2/ adsorption curve is well described by a Langmuir-type adsorption (type I) which gives an adsorption coefficient k/sub a//k/sub d//spl ap/0.4 h/sup -1/.
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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".