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Record W4248890153 · doi:10.1142/s0217751x09046801

Charm Physics

2009· article· en· W4248890153 on OpenAlexaff
D. M. Asner, I. I. Bigi, Jérôme Charles, J. C. Chen, Hai-Yang Cheng, Sébastien Descotes–Genon, K. L. He, H. B. Li, J. Liu, H. H. Liu, H. Lü, G. Rong, L. Roos, S. S. Sun, S. T’Jampens, Yutong Wu, Z. Z. Xing, Mingzhu Yang, Ya-Dong Yang, D. Y. Zhang, Minlin Zhong, J. H. Zou

Bibliographic record

VenueInternational Journal of Modern Physics A · 2009
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsPhysicsParticle physicsCharm (quantum number)Phenomenology (philosophy)Charm quarkElectroweak interactionQuarkMesonHadronNuclear physics

Abstract

fetched live from OpenAlex

Nobody doubts that the discovery of hadrons with charm of the hidden and open variety – i.e. charmonium as well as D mesons – was instrumental in the acceptance of the Standard Model (SM) in general, and of quarks as physical degrees of freedom, rather than objects of mere mathematical convenience, in particular. Yet charm is all too often viewed as a quantum number with a great past and with no particularly interesting future. This is due to SM predictions of a rather dull electroweak phenomenology of CKM parameters, a low frequency for [Formula: see text] oscillations, tiny (at best) CP asymmetries, and extremely rare flavor changing neutral currents which, in any case, are swamped by huge backgrounds from long-distance dynamics…

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.048
Threshold uncertainty score0.160

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.002
Scholarly communication0.0030.003
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0480.018

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 head0.016
GPT teacher head0.297
Teacher spread0.280 · 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

Citations217
Published2009
Admission routes1
Has abstractyes

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