Bibliographic record
Abstract
The full data sample from the BaBar experiment is used to measure the ratios of branching fractions and , where ℓ refers to an electron or muon. These ratios are sensitive to the presence of new physics in charged current decays and are sensitive probes for charged Higgs bosons. These ratios are predicted in the standard model with small theoretical uncertainties, and many experimental uncertainties cancel in the ratio. The measured values, R(D) = 0.440 ± 0.058 ± 0.042 and R(D *) = 0.332 ± 0.024 ± 0.018, exceed standard model expectations by 2.0 σ and 2.7 σ , respectively. Accounting for correlations, the combined departure from the standard model is 3.4 σ. The measured values are not compatible with a charged Higgs boson in type-II two-Higgs-doublet models, but can be accommodated in more general models involving charged mediators.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".