Change in the pulse regime of negative corona in air due to a small adjunct of SF/sub 6/
Bibliographic record
Abstract
Corona discharge studies were continued concerning the effect of small amounts of SF/sub 6/ in air. Further observations made on sequences of pulses are reported. Analysis made on each pulse sequence have unraveled distinct repetitive features by the pulse regimes. For air, where the distribution of the pulse amplitudes of the Trichel pulse train is normal in form and the variation in pulse amplitude is relatively small, a good correlation between the pulse magnitude and the time interval preceding the pulse under consideration is found to exist. For the air containing 1% SF/sub 6/, the pulse amplitude variations are much greater than for air only, frequently with the large intensity pulses followed by lower intensity ones: this translates into relatively large time interval variations as well. A reasonable correlation is found between the pulse magnitude and both of the preceding and the succeeding pulse time intervals. The significant parameters determining the pulse sequence, and therefore characteristic of the gas under test, are found to be the pulse amplitude, ratio of the large pulse to succeeding pulse amplitude and associated pulse time interval.
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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 | 0.001 |
| 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".