Transition probabilities, oscillator strengths, and test of <i>J</i>-file sum rule for the 2p<sup>5</sup>3p → 2p<sup>5</sup>3s transition array in the neon emission spectra
Bibliographic record
Abstract
In this work experimental transition probabilities, line strengths, and atomic oscillator strengths of 30 spectral lines corresponding to the 2p53p → 2p53s transitions array of neon have been deduced using a neon-filled hollow cathode lamp in conjunction with two spectrographs covering the wavelength region from 500 to 1000 nm. The experimental absolute transition probabilities have been determined using the relative intensity method and lifetimes of the excited states. The transition probabilities have been converted to the line strengths data and used for testing the J-file sum rule. Relative line strengths of all the lines have been computed to determine the oscillator strength values. The measured transition probabilities, oscillator strengths, and relative line strengths agree well with the previously reported data.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".