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Record W2625559578 · doi:10.1016/j.ppnp.2018.01.006

NuSTEC  White Paper: Status and challenges of neutrino–nucleus scattering

2018· article· en· W2625559578 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueProgress in Particle and Nuclear Physics · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNeutrino Physics Research
Canadian institutionsPerimeter Institute
FundersH2020 Marie Skłodowska-Curie ActionsNuclear PhysicsOntario Ministry of Research and InnovationEuropean Regional Development FundHorizon 2020Japan Society for the Promotion of ScienceScience and Technology Facilities CouncilHorizon 2020 Framework ProgrammeOffice of ScienceVlaamse regeringNarodowe Centrum NaukiFonds Wetenschappelijk OnderzoekVirginia Polytechnic Institute and State UniversityIstituto Nazionale di Fisica NucleareFermilabBelgian Federal Science Policy OfficeGovernment of CanadaGeneralitat ValencianaCommissariat à l'Énergie Atomique et aux Énergies AlternativesMinisterio de Economía y CompetitividadColorado State UniversityUniversity of PittsburghU.S. Department of EnergyUniversità degli Studi di TorinoMichigan State UniversityMinistry of Education, Culture, Sports, Science and TechnologyInnovation, Science and Economic Development CanadaNorthwestern UniversityCollege of Engineering, Michigan State UniversityUniversity of WashingtonAlfred P. Sloan FoundationInstituto Nazionale di Fisica NucleareMassachusetts Institute of TechnologyEuropean Commission
KeywordsObservableScatteringEvent (particle physics)Oscillation (cell signaling)NeutrinoNeutrino oscillation

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.416
Threshold uncertainty score0.581

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.032
GPT teacher head0.294
Teacher spread0.262 · 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