Hyperfine quenching of the 2<sup>3</sup><i>P</i><sub>0,2</sub> states in He-like ions
Bibliographic record
Abstract
The transition probabilities of the lines 1 1 S 0 2 3 P 0 and 1 1 S 0 2 3 P 2 in He-like ions with nonzero nuclear spins are calculated. The hyperfine-quenching effect on the lifetimes of the 2 3 P 0,2 states is investigated. The Coulomb and Breit interelectronic interactions are taken into account to the order (α Z) 2 /Z by means of perturbation theory. The calculation is performed for both length and velocity gauges. The transition rates evaluated are in good agreement with previous 1/Z and CI calculations. PACS No.: 32.70Cs
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".