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
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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 it