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Record W2315819268 · doi:10.7566/jpscp.1.013063

MTV/MTV-G Experiment at TRIUMF Search of T-Violation and Gravity Signal at Nuclear Scale

2014· article· en· W2315819268 on OpenAlexaff
Saki Tanaka, H. Baba, J.A. Behr, T. Iguri, H. Kawamura, P. Levy, Yusuke Nakaya, R. Narikawa, K. Ninomiya, Junichi Onishi, Mathew Pearson, R. Openshaw, Shuntaro Saiba, R. Tanuma, Yumi Totsuka, J. Murata

Bibliographic record

VenueProceedings of the 12th Asia Pacific Physics Conference (APPC12) · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsTRIUMF
Fundersnot available
KeywordsPhysicsScale (ratio)SIGNAL (programming language)Nuclear physicsAstronomyComputer science

Abstract

fetched live from OpenAlex

The MTV-G (MTV-Gravity) experiment is aiming to test an existence of a strong gravitational field at around nuclear scale, utilizing an electron polarimeter of the MTV (Mott Polarimetry for T-Violation) experiment at TRIUMF, which is searching a large T-Violating electron transverse polarization emitted in a polarized Li-8 beta decay.From 2011, we have started the MTV-G experiment utilizing the MTV detectors, successfully examined the strong gravitational field at the microscopic scale for the first time.We are trying to set new constraint on the possible new Yukawa interaction at sub-mm scale, where violation of gravitational inverse square law is predicted.

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)0.003
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 score0.004
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.015
GPT teacher head0.238
Teacher spread0.222 · 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
Published2014
Admission routes1
Has abstractyes

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