The relativistic consideration of <i>α</i> and <sup>14</sup>C clusters in studying even-even stable isotopes with 32 ≤ <i>Z</i> ≤ 38
Bibliographic record
Abstract
In the present work, we aim to demonstrate the capability of a non-microscopic relativistic cluster model in characterizing even-even stable isotopes with 32 ≤ Z ≤ 38 and included in Ge, Se, Kr, and Sr chains. Moreover, we aimed to support the consideration of heavy clusters in studying such isotopes. Therefore, we examined the 14C-core configuration to explore its prospect in studying the structure of even-even non-doubly-magic stable nuclei, in addition to the conventional α-core configuration. We set the 14C cluster to examine these isotopes because it is a stable spin-zero even-even nucleus. To study the structure of our purpose isotopes, we used the Klein–Gordon equation to describe spin-zero particles in relativistic fields, frequently used to characterize particles with zero spin. To solve the equation, we applied the Nikiforov–Uvarov-functional analysis method, a powerful technique for addressing differential equations in quantum mechanics.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".