Deformations and magnetic rotations in the<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mmultiscripts><mml:mi mathvariant="normal">Ni</mml:mi><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>60</mml:mn></mml:mrow></mml:mmultiscripts></mml:math>nucleus
Bibliographic record
Abstract
Data from three experiments using the heavy-ion fusion evaporation-reaction ${}^{36}\mathrm{Ar}+{}^{28}\mathrm{Si}$ have been combined to study high-spin states in the residual nucleus $^{60}\mathrm{Ni}$, which is populated via the evaporation of four protons from the compound nucleus $^{64}\mathrm{Ge}$. The GAMMASPHERE array was used for all the experiments in conjunction with a $4\ensuremath{\pi}$ charged-particle detector arrays (MICROBALL, LUWUSIA) and neutron detectors (NEUTRON SHELL) to allow for the detection of $\ensuremath{\gamma}$ rays in coincidence with the evaporated particles. An extended $^{60}\mathrm{Ni}$ level scheme is presented, comprising more than $270\ensuremath{\gamma}$-ray transitions and 110 excited states. Their spins and parities have been assigned via directional correlations of $\ensuremath{\gamma}$ rays emitted from oriented states. Spherical shell-model calculations in the $\mathit{fp}$-shell characterize some of the low-spin states, while the experimental results of the rotational bands are analyzed with configuration-dependent cranked Nilsson-Strutinsky calculations.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.070 | 0.011 |
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".