Search for the Flavor-Changing Neutral Current Decay <i>B</i><sub><i>s</i></sub><sup>0</sup> → μ<sup>+</sup>μ<sup>-</sup> in <i>pp</i> Collisions at √<i>s</i> = 1.96 TeV with the D0 Detector
Bibliographic record
Abstract
We present the results of a search for the flavor-changing neutral current decay Bs0 → μ+μ- using a data set with integrated luminosity of 240 pb-1 of pp̅ collisions at √s = 1.96 TeV collected with the D0 detector in run II of the Fermilab Tevatron collider.We find the upper limit on the branching fraction to be Ɓ(Bs0 → μ+μ-) ≤ 5.0 x 10-7 at the 95% C.L. assuming no contributions from the decay Bd0 → μ+μ- in the signal region. This limit is the most stringent upper bound on the branching fraction Bs0 → μ+μ- to date.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.002 |
| Meta-epidemiology (narrow) | 0.015 | 0.013 |
| Meta-epidemiology (broad) | 0.014 | 0.010 |
| Bibliometrics | 0.005 | 0.014 |
| Science and technology studies | 0.016 | 0.012 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.016 | 0.012 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 0.007 |
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; both teacher heads agree on what is shown here.
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".