The fragmentation of SF<sub>6</sub> under O<sup>−</sup> and Al<sup>−</sup> negative ion impact
Bibliographic record
Abstract
The fragmentation of SF 6 under 15–30 keV O − and 20–30 keV Al − impact has been studied using a crossed beam technique. The recoil ions and ion pairs are identified in coincidence with scattered projectiles with different charge states by the usage of time-of-flight (TOF) mass spectroscopy. The yield ratios of fragment ions to [Formula: see text] and the yield ratios of ion pairs to (S + , F + ) in collision with O − and Al − are obtained and compared with those of H − and C − . It is found that the ratios have a very strong dependence on the momenta of the projectiles. Besides, by analyzing the TOF spectra, it is also found that more [Formula: see text] with n odd are produced than those with n even under O − , Al − impact, which also happened in collision with H − and C − , positive ion and electron impact. The dissociation channels of [Formula: see text] are found to be insensitive to incident ions’ energy and kind in our energy range.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".