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Bibliographic record
Abstract
We report an updated measurement of the $CP$-violating phase, ${\ensuremath{\phi}}_{s}^{J/\ensuremath{\psi}\ensuremath{\phi}}$, and the decay-width difference for the two mass eigenstates, $\ensuremath{\Delta}{\ensuremath{\Gamma}}_{s}$, from the flavor-tagged decay ${B}_{s}^{0}\ensuremath{\rightarrow}J/\ensuremath{\psi}\ensuremath{\phi}$. The data sample corresponds to an integrated luminosity of $8.0\text{ }\text{ }{\mathrm{fb}}^{\ensuremath{-}1}$ accumulated with the D0 detector using $p\overline{p}$ collisions at $\sqrt{s}=1.96\text{ }\text{ }\mathrm{TeV}$ produced at the Fermilab Tevatron collider. The 68% Bayesian credibility intervals, including systematic uncertainties, are $\ensuremath{\Delta}{\ensuremath{\Gamma}}_{s}={0.163}_{\ensuremath{-}0.064}^{+0.065}\text{ }\text{ }{\mathrm{ps}}^{\ensuremath{-}1}$ and ${\ensuremath{\phi}}_{s}^{J/\ensuremath{\psi}\ensuremath{\phi}}=\ensuremath{-}{0.55}_{\ensuremath{-}0.36}^{+0.38}$. The $p$-value for the Standard Model point is 29.8%.
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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) | 0.000 | 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 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.008 |
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".