Bibliographic record
Abstract
Ab initio multi-configuration Dirac–Fock (MCDF) calculations are performed for energy levels and lifetimes of the lowest 115 fine-structure levels generated from the 3s23p63d7, 3s23p53d8, 3s3p63d8, 3s23p43d9, and 3s3p53d9 configurations of Hf XLVIII, Ta XLIX, Os LII, Pt LIV, and Au LV of fusion interest. Furthermore, radiative rates are calculated for all electric dipole, electric quadrupole, magnetic dipole, and magnetic quadrupole transitions. Electron correlation is treated through multi-configuration expansions in the active space approximation. The Breit interaction and the leading quantum electrodynamic corrections, in the form of self-energy and vacuum polarization, are included. Another theoretical attempt, based on the Flexible Atomic Code, is presented for the atomic structure to serve as an independent check of the MCDF values and the results show fairly good agreement with the MCDF ones. Comparisons are made with available results in the literature. The uncertainties of our energies and strong transition rates are found to be approximately 0.25% and 2%, respectively. The extended and consistent data presented in this study should be of notable interest in various fusion research.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".