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Record W7041861787

The T2K Experiment

2016· article· en· W7041861787 on OpenAlexfundno aff

Bibliographic record

VenueNazarbayev University Repository (Nazarbayev University) · 2016
Typearticle
Languageen
FieldEngineering
TopicPhysics and Engineering Research Articles
Canadian institutionsnot available
FundersInstitut National de Physique Nucléaire et de Physique des ParticulesNatural Sciences and Engineering Research Council of CanadaCentre National de la Recherche ScientifiqueMinistry of Education, Culture, Sports, Science and TechnologyMinistry of Education and Science of the Russian FederationRussian Academy of SciencesRussian Foundation for Basic ResearchIstituto Nazionale di Fisica NucleareCERNDeutsche ForschungsgemeinschaftScience and Technology Facilities CouncilNational Research FoundationNational Science FoundationTRIUMFSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungU.S. Department of EnergyMinistry of Education, Science and Technology
KeywordsNucleofectionGestational periodTSG101HyporeflexiaDiafiltrationLiquationDysgeusiaTriacetinPretext
DOInot available

Abstract

fetched live from OpenAlex

The T2K experiment is a long-baseline neutrino oscillation experiment. Its main goal is to measure the last unknown lepton
\nsector mixing angle 13 by observing e appearance in a beam. It also aims to make a precision measurement of the known
\noscillation parameters, m2
\n23 and sin2 2 23, via disappearance studies. Other goals of the experiment include various neutrino
\ncross section measurements and sterile neutrino searches. The experiment uses an intense proton beam generated by the J-PARC
\naccelerator in Tokai, Japan, and is composed of a neutrino beamline, a near detector complex (ND280), and a far detector (Super-
\nKamiokande) located 295 km away from J-PARC. This paper provides a comprehensive review of the instrumentation aspect of the
\nT2K experiment and a summary of the vital information for each subsystem

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.860
Threshold uncertainty score0.887

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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.003
GPT teacher head0.141
Teacher spread0.137 · 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 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
Published2016
Admission routes1
Has abstractyes

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