Measurements of CP-violating asymmetries and branching fractions in B decays to ÏK and ÏÏ
Bibliographic record
Abstract
We present measurements of CP-violating asymmetries and branching fractions for the decays B+âÏÏ+, B+âÏK+, and B0âÏK0. The data sample corresponds to 232Ã106 BBÌ pairs produced by e+e- annihilation at the Î¥(4S) resonance. For the decay B0âÏKS0, we measure the time-dependent CP-violation parameters S=0.51-0.39+0.35±0.02, and C=-0.55-0.26+0.28±0.03. We also measure the branching fractions, in units of 10-6, B(B+âÏÏ+)=6.1±0.7±0.4, B(B+âÏK+)=6.1±0.6±0.4, and B(B0âÏK0)=6. 2±1.0±0.4, and charge asymmetries Ach(B+âÏÏ+)=-0. 01±0.10±0.01 and Ach(B+âÏK+)=0.05±0.09±0. 01. © 2006 The American Physical Society.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".