Measurement of B(Λc+→pK-π+)
Bibliographic record
Abstract
The ${\ensuremath{\Lambda}}_{c}^{+}\ensuremath{\rightarrow}{\mathrm{pK}}^{\ensuremath{-}}{\ensuremath{\pi}}^{+}$ yield has been measured in a sample of two-jet continuum events containing both a charm tag $(``\overline{D}'')$ as well as an antiproton ${(e}^{+}{e}^{\ensuremath{-}}\ensuremath{\rightarrow}\overline{D}\overline{p}\mathrm{X}),$ with the antiproton in the hemisphere opposite the $\overline{D}$ (measurement of charge conjugate modes is implicit throughout). Under the hypothesis that such selection criteria tag ${e}^{+}{e}^{\ensuremath{-}}\ensuremath{\rightarrow}\overline{D}\overline{p}{\ensuremath{\Lambda}}_{c}^{+}\mathrm{X}$ events, the ${\ensuremath{\Lambda}}_{c}^{+}\ensuremath{\rightarrow}{\mathrm{pK}}^{\ensuremath{-}}{\ensuremath{\pi}}^{+}$ branching fraction can be determined by measuring the ${\mathrm{pK}}^{\ensuremath{-}}{\ensuremath{\pi}}^{+}$ yield in the same hemisphere as the antiprotons in our $\overline{D}\overline{p}\mathrm{X}$ sample. Three types of $\overline{D}$ charm tags are used, ${\ensuremath{\pi}}_{\mathrm{soft}}^{\ensuremath{-}}$ (from ${D}^{*\ensuremath{-}}\ensuremath{\rightarrow}{D}^{0}{\ensuremath{\pi}}_{\mathrm{soft}}^{\ensuremath{-}}),$ electrons (from $\overline{D}\ensuremath{\rightarrow}{\mathrm{Xe}}^{\ensuremath{-}}\ensuremath{\nu}),$ and fully reconstructed ${D}^{0}\ensuremath{\rightarrow}{K}^{+}{\ensuremath{\pi}}^{\ensuremath{-}}$ or ${D}^{\ensuremath{-}}\ensuremath{\rightarrow}{K}^{+}{\ensuremath{\pi}}^{\ensuremath{-}}{\ensuremath{\pi}}^{\ensuremath{-}}$ or ${D}_{\mathrm{s}}^{\ensuremath{-}}\ensuremath{\rightarrow}\ensuremath{\varphi}{\ensuremath{\pi}}^{\ensuremath{-}}.$ Combining our results obtained from the three independent charm tags, we obtain $\mathcal{B}({\ensuremath{\Lambda}}_{c}^{+}\ensuremath{\rightarrow}{\mathrm{pK}}^{\ensuremath{-}}{\ensuremath{\pi}}^{+})=(5.0\ifmmode\pm\else\textpm\fi{}0.5\ifmmode\pm\else\textpm\fi{}1.2)%.$
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.009 | 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; 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".