MétaCan
Menu
Back to cohort
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 1:43 1020 protons on target. Six events pass all selection criteria at the far detector. In a three- avor neutrino oscillation scenario with j m2 23j = 2:4 10􀀀3 eV2, sin2 2 23 = 1 and sin2 2 13 = 0, the expected number of such events is 1.5 0.3(syst.). Under this hypothesis, the probability to observe six or more candidate events is 7 10􀀀3, equivalent to 2.5 signi cance. At 90% C.L., the data are consistent with 0.03(0.04)< sin2 2 13 < 0.28(0.34) for CP = 0 and normal (inverted) hierarchy.

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)0.001
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueNazarbayev University Repository (Nazarbayev University)Same topicNeutrino Physics ResearchFrench-language works237,207