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Record W7033065352

Observation of the decay BÌ0âÎc+pÌÏ0

2010· article· en· W7033065352 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship (California Digital Library) · 2010
Typearticle
Languageen
FieldComputer Science
TopicNumerical Methods and Algorithms
Canadian institutionsnot available
FundersSLAC National Accelerator LaboratoryInstitut National de Physique Nucléaire et de Physique des ParticulesCentre National de la Recherche ScientifiqueBundesministerium für Bildung und ForschungScience and Technology Facilities CouncilNatural Sciences and Engineering Research Council of CanadaEuropean CommissionAlfred P. Sloan FoundationDeutsche ForschungsgemeinschaftU.S. Department of EnergyNational Science Foundation
KeywordsBranching fractionColliderBranching (polymer chemistry)DetectorInvariant massParticle decay
DOInot available

Abstract

fetched live from OpenAlex

In a sample of 467×106 BB̄ pairs collected with the BABAR detector at the PEP-II collider at SLAC we have observed the decay B̄0→Λc+p̄π0 and measured the branching fraction to be (1.94±0.17±0.14±0.50)×10 - 4, where the uncertainties are statistical, systematic, and the uncertainty on the Λc+→pK - π + branching fraction, respectively. We determine an upper limit of 1.5×10 - 6 at 90% C.L. for the product branching fraction B(B̄0→Σc+(2455)p̄) ×B(Λc+→pK - π + ). Furthermore, we observe an enhancement at the threshold of the invariant mass of the baryon-antibaryon pair. © 2010 The American Physical Society.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.019
GPT teacher head0.234
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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