Improved search for invisible modes of nucleon decay in water with the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>SNO</mml:mi><mml:mo>+</mml:mo><mml:mtext>detector</mml:mtext></mml:mrow></mml:math>
Bibliographic record
Abstract
This paper reports results from a search for single and multinucleon disappearance from the $^{16}\mathrm{O}$ nucleus in water within the $\mathrm{SNO}+$ detector using all of the available data. These so-called ``invisible'' decays do not directly deposit energy within the detector but are instead detected through their subsequent nuclear deexcitation and gamma-ray emission. New limits are given for the partial lifetimes: $\ensuremath{\tau}(n\ensuremath{\rightarrow}\mathrm{inv})>\phantom{\rule{0ex}{0ex}}9.0\ifmmode\times\else\texttimes\fi{}{10}^{29}\text{ }\text{ }\mathrm{years}$, $\ensuremath{\tau}(p\ensuremath{\rightarrow}\mathrm{inv})>9.6\ifmmode\times\else\texttimes\fi{}{10}^{29}\text{ }\text{ }\mathrm{years}$, $\ensuremath{\tau}(nn\ensuremath{\rightarrow}\mathrm{inv})>1.5\ifmmode\times\else\texttimes\fi{}{10}^{28}\text{ }\text{ }\mathrm{years}$, $\ensuremath{\tau}(np\ensuremath{\rightarrow}\mathrm{inv})>\phantom{\rule{0ex}{0ex}}6.0\ifmmode\times\else\texttimes\fi{}{10}^{28}\text{ }\text{ }\mathrm{years}$, and $\ensuremath{\tau}(pp\ensuremath{\rightarrow}\mathrm{inv})>1.1\ifmmode\times\else\texttimes\fi{}{10}^{29}\text{ }\text{ }\mathrm{years}$ at 90% Bayesian credibility level (with a prior uniform in rate). All but the ($nn\ensuremath{\rightarrow}\mathrm{inv}$) results improve on existing limits by a factor of about 3.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".