K to L shell vacancy transfer probabilities and Auger electron emission ratios for elements in the atomic range 30 ≤ <i>Z</i> ≤ 58
Bibliographic record
Abstract
The K to L shell vacancy transfer probabilities for some elements in the atomic range 30 ≤ Z ≤ 58 were determined using the semi-empirical values of K shell fluorescence yield and the experimental values of Kβ/Kα X-ray intensity ratio. Furthermore, the KLX/KLL and KXY/KLL Auger electrons emission ratios for the same elements were obtained using the experimental values of Kβ/Kα X-ray intensity ratio. The experiments were performed using a 241Am annular radioisotope source and a high-resolution Si(Li) semiconductor detector. The experimental values of K to L shell vacancy transfer probabilities, and KLX/KLL and KXY/KLL Auger electrons emission ratios were compared with the fitted, theoretical, semi-empirical, and other available experimental values. To the best knowledge of the author, the KLX/KLL and KXY/KLL Auger electrons emission ratios of ruthenium, palladium, and tellurium have been obtained for the first time in the present work.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".