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Record W2599745314

Semileptonic Decays and Sides of the Unitarity Triangle

2008· article· en· W2599745314 on OpenAlexaboutno aff
C. Bauer

Bibliographic record

VenueeScholarship (California Digital Library) · 2008
Typearticle
Languageen
FieldMaterials Science
TopicGraphite, nuclear technology, radiation studies
Canadian institutionsnot available
Fundersnot available
KeywordsDisclaimerWarrantyGovernment (linguistics)Library sciencePolitical sciencePhysicsLawPhilosophyComputer science
DOInot available

Abstract

fetched live from OpenAlex

Semileptonic Decays and Sides of the Unitarity Triangle * C. Bauer, 1,9 C. Bernard, 2 I. Bigi 3 , M. Datta, 4 D. del Re, 5 B. Grinstein, 6 S. Hashimoto, 7 U. Langenegger, 8 Z. Ligeti, 9 M. Luke, 10 E. Lunghi, 11 P. Mackenzie, 12 A. Manohar, 13 T. Moore, 14 D. Pirjol, 15 S. Robertson, 16 I. Rothstein, 17 I. Stewart, 1 8 M. Voloshin 19 University of California, Berkeley; 2 Washington University; 3 Notre Dame University; University of Wisconsin, Madison; 5 University of Rome; 6 University of California, San Diego; High Energy Accelerator Research Organization (KEK); 8 Stanford Linear Accelerator Center; Lawrence Berkeley National Laboratory; 10 Toronto University; 11 ITP - University of Zurich; Fermilab; 13 University of California, San Diego; 14 University of Massachusetts Massachusetts Institute of Technology; 16 McGill University; 17 Carnegie-Mellon University; Massachusetts Institute of Technology; 19 University of Minnesota October 2003 *This work was supported in part by the Director, Office of Science, Office of High Energy Physics, of the U.S. Department of Energy under Contract No. DE-AC03-76SF00098. DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by its trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof, or The Regents of the University of California. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof or The Regents of the University of California.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.402
Threshold uncertainty score0.553

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.206
Teacher spread0.188 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2008
Admission routes1
Has abstractyes

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