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Record W6991699674

Indication of Electron Neutrino Appearance from an Accelerator-produced Off-axis Muon Neutrino Beam

2016· article· en· W6991699674 on OpenAlexfundno aff

Bibliographic record

VenueNazarbayev University Repository (Nazarbayev University) · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNeutrino Physics Research
Canadian institutionsnot available
FundersInstitut National de Physique Nucléaire et de Physique des ParticulesDeutsches Elektronen-SynchrotronScience and Technology Facilities CouncilAlfred P. Sloan FoundationNatural 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 FederationJapan Society for the Promotion of ScienceRussian Foundation for Basic ResearchMinisterio de Ciencia e InnovaciónCERNDeutsche ForschungsgemeinschaftSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungU.S. Department of Energy
KeywordsNeutrino oscillationNeutrinoMuonElectronBeam (structure)Electron neutrinoMuon neutrinoNeutrino detectorSolar neutrino problem
DOInot available

Abstract

fetched live from OpenAlex

The T2K experiment observes indications of ! e appearance in data accumulated with
\n1:43 1020 protons on target. Six events pass all selection criteria at the far detector. In a three-
\n
\navor neutrino oscillation scenario with j m2
\n23j = 2:4 10􀀀3 eV2, sin2 2 23 = 1 and sin2 2 13 = 0,
\nthe expected number of such events is 1.5 0.3(syst.). Under this hypothesis, the probability to
\nobserve six or more candidate events is 7 10􀀀3, equivalent to 2.5 signi cance. At 90% C.L.,
\nthe data are consistent with 0.03(0.04)< sin2 2 13 < 0.28(0.34) for CP = 0 and normal (inverted)
\nhierarchy.

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 categoriesMeta-epidemiology (narrow)
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 score0.173
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0020.001
Research integrity0.0000.001
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 head0.009
GPT teacher head0.221
Teacher spread0.212 · 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.

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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