Measurements of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>β</mml:mi> </mml:math> -delayed proton emitters in the region of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mi>Sn</mml:mi> <mml:mprescripts/> <mml:none/> <mml:mn>100</mml:mn> </mml:mmultiscripts> </mml:math>
Bibliographic record
Abstract
An experiment on neutron-deficient nuclei in the region of doubly magic $^{100}\mathrm{Sn}$ was carried out at the Radioactive Ion Beam Factory (RIBF) at the RIKEN Nishina Center in Japan. $N\ensuremath{\approx}Z\ensuremath{\approx}50$ nuclei were produced following fragmentation of an intense primary $^{124}\mathrm{Xe}$ beam and implanted in the Advanced Implantation Detector Array silicon setup for the first study of proton-rich nuclei with this system at RIKEN. Measurements of the $\ensuremath{\beta}$-delayed proton emitter decay half-lives, branching ratios and proton energy spectra of nuclei in the region of $^{100}\mathrm{Sn}$ were performed, with improved precision in many cases. New results for the energy spectrum of $^{101}\mathrm{Sn}$ are presented, where a 2.03(5)-MeV peak was observed. These results are compared to shell-model calculations, using the recent precise measurement of the $^{101}\mathrm{In}$ proton separation energy are presented.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".