Precise measurement of the β decay and electron capture of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mmultiscripts><mml:mi mathvariant="normal">Na</mml:mi><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>22</mml:mn></mml:mrow></mml:mmultiscripts></mml:math>,<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mmultiscripts><mml:mi mathvariant="normal">Au</mml:mi><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>198</mml:mn></mml:mrow></mml:mmultiscripts></mml:math>, and<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mmultiscripts><mml:mi mathvariant="normal">Au</mml:mi><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>196</mml:mn></mml:mrow></mml:mmultiscripts></mml:math>in low-temperature metal hosts, and reexamination of lifetime modifications
Bibliographic record
Abstract
We investigated half-life changes with temperature of $^{22}\mathrm{Na}$ embedded in Al and $^{198}\mathrm{Au}$/$^{196}\mathrm{Au}$ embedded in Au. We do not find any change of the half-life between room temperature and 10 K on the level of 0.04% for $^{22}\mathrm{Na}$, 0.03% for $^{198}\mathrm{Au}$, and 0.5% for $^{196}\mathrm{Au}$ in striking disagreement with the first experimental works and predictions. Additionally, the absolute half-life for $^{198}\mathrm{Au}$ has been determined to $2.6937\ifmmode\pm\else\textpm\fi{}0.0003$ d which is 5 standard deviations below the recommended NIST value but in agreement with other high-precision measurements.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 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".