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Record W2015517540 · doi:10.1088/0034-4885/70/11/r02

Theory of neutrinos: a white paper

2007· article· en· W2015517540 on OpenAlexaff
R. N. Mohapatra, Stefan Antusch, K. S. Babu, Gabriela Barenboim, A. de Gouvêa, P. de Holanda, Bhaskar Dutta, Yuval Grossman, Anjan S. Joshipura, B. Kayser, Joern Kersten, Yong-Yeon Keum, Stephen F. King, Paul Langacker, M. Lindner, Will Loinaz, Isabella Masina, Irina Mocioiu, Sujata Mohanty, Hitoshi Murayama, Silvia Pascoli, S.T. Petcov, Apostolos Pilaftsis, Pierre Ramond, Michael Ratz, Werner Rodejohann, Robert Shrock, Tatsu Takeuchi, Thomas Underwood, L. Wolfenstein

Bibliographic record

VenueReports on Progress in Physics · 2007
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNeutrino Physics Research
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsPhysicsNeutrinoParticle physicsPhysics beyond the Standard ModelCosmologyNeutrino oscillationAsymmetryCosmic neutrino backgroundAntimatterSolar neutrinoStandard Model (mathematical formulation)Sterile neutrinoAstrophysicsLeptonNuclear physics

Abstract

fetched live from OpenAlex

This paper is a review of the present status of neutrino mass physics, which grew out of an APS sponsored study of neutrinos in 2004. After a discussion of the present knowledge of neutrino masses and mixing and some popular ways to probe the new physics implied by recent data, it summarizes what can be learned about neutrino interactions as well as the nature of new physics beyond the Standard Model from the various proposed neutrino experiments. The intriguing possibility that neutrino mass physics may be at the heart of our understanding of a long standing puzzle of cosmology, i.e. the origin of matter–antimatter asymmetry is also discussed.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.003
Scholarly communication0.0040.006
Open science0.0010.002
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0070.004

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 head0.019
GPT teacher head0.317
Teacher spread0.298 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations496
Published2007
Admission routes1
Has abstractyes

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