Search for D<sup>0</sup>-DÌ<sup>0</sup>mixing using semileptonic decay modes
Bibliographic record
Abstract
Based on an 87-fb-1data set collected by the BABAR detector at the PEP-II asymmetric-energy B Factory, a search for D0- DÌ0mixing has been made using the semileptonic decay modes D*+â Ï+D0, D0â K(*)eν (+c.c.). The use of these modes allows unambiguous flavor tagging and a combined fit of the D0decay time and D*+-D0mass difference (ÎM) distributions. The high-statistics sample of unmixed semileptonic D0decays is used to model the ÎM distribution and time dependence of mixed events directly from the data Neural networks are used to select events and reconstruct the D0. A result consistent with no charm mixing has been obtained, Rmix= 0.0023 ± 0.0012 ± 0.0004. This corresponds to an upper limit of Rmix< 0.0042 (90% C.L.).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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".