Cross sections for the formation of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mi>Rb</mml:mi> <mml:mprescripts/> <mml:none/> <mml:mrow> <mml:mn>84</mml:mn> <mml:mi>m</mml:mi> <mml:mo>,</mml:mo> <mml:mi>g</mml:mi> </mml:mrow> </mml:mmultiscripts> <mml:mo>,</mml:mo> <mml:mo> </mml:mo> <mml:mmultiscripts> <mml:mi>Rb</mml:mi> <mml:mprescripts/> <mml:none/> <mml:mn>83</mml:mn> </mml:mmultiscripts> </mml:math> , and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mi>Rb</mml:mi> <mml:mprescripts/> <mml:none/> <mml:mrow> <mml:mn>82</mml:mn> <mml:mi>m</mml:mi> </mml:mrow> </mml:mmultiscripts> </mml:math> in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mmultiscripts> <mml:mi>Sr</mml:mi> <mml:mprescripts/> <mml:none/> <mml:mn>86</mml:mn> </mml:mmultiscripts> <mml:mo>(</mml:mo> <mml:mrow> <mml:mi>d</mml:mi> <mml:mo>,</mml:mo> <mml:mi>x</mml:mi> </mml:mrow> <mml:mo>)</mml:mo> </mml:mrow> </mml:math> reactions up to deuteron energies of 49 MeV: Competition between <i>α</i> -particle and multinucleon emission processes
Bibliographic record
Abstract
Cross sections of $^{86}\mathrm{Sr}(d,x)$ reactions leading to the products $^{84m,g}\mathrm{Rb}, ^{83}\mathrm{Rb}$, and $^{82m}\mathrm{Rb}$ were measured by the stacked-sample activation technique up to deuteron energies of 49 MeV. Nuclear model calculations were performed using the codes talys and empire, which combine the statistical, precompound, and direct interaction components. In all cases, the empire results were much higher than the talys calculation. Fairly good agreement was obtained between measured data and the talys calculation after some optimization of the input model parameters. Insight into competition between \ensuremath{\alpha}-particle and multinucleon emission in the $^{88}\mathrm{Y}$ compound-nucleus system was also gained.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.326 | 0.201 |
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".