Smooth band termination in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mi mathvariant="normal">I</mml:mi> <mml:mprescripts/> <mml:none/> <mml:mn>115</mml:mn> </mml:mmultiscripts> </mml:math>
Bibliographic record
Abstract
The cranked Nilsson-Strutinsky formalism is employed to investigate the band structure of $^{115}\mathrm{I}$ from low to high spin. A set of eight rotational bands with well established spins and parities are analyzed. Five bands start at low spin and are assigned to the single-particle proton orbitals $({d}_{5/2},$ ${g}_{7/2}),$ ${g}_{9/2}, \text{and} {h}_{11/2}$, which are close to the Z = 53 Fermi surface for a deformation of ${\ensuremath{\varepsilon}}_{2}=0.2$. The analysis of the observed level energies relative to a rotating liquid drop and spins versus $\ensuremath{\gamma}$-ray energies allow one to track the evolution of the configurations with increasing spin. It is of special interest that one band in the valence space is observed to terminate smoothly at ${I}_{\mathrm{max}}=67/{2}^{+}$.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.321 | 0.104 |
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".