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Record W1970888442 · doi:10.1134/1.855740

ORLaND: A proposed neutrino facility at the Oak Ridge National Laboratory

2000· article· en· W1970888442 on OpenAlexaff
F. T. Avignone, B. D. Anderso, T. C. Awes, S. Berridge, W. Bilpuch, C.L. Britton, W.L. Bryan, W. Bugg, R. L. Burman, J. Busenitz, K. Carter, Lali Chatterjee, V. Cianciolo, A. Cochran, H.O. Cohn, M. Danilov, L. De-Brackeleer, Pavel Degtiarenko, Y. V. Efremenko, M. Elaasar, A. R. Fazely, S.S. Frank, T.A. Gabriel, C. R. Gould, Vladimir Gudkov, R. M. Gunasingha, T. Handler, E. L. Hart, R. Imlay, U. Jagadish, Yu. Kamyshkov, E. Khosrovi, D. D. Koetke, C. Lane, R. Manweiler, W. Metcalf, Anthony Mezzacappa, Liping Mo, V. Z. Nosik, T. A. Nummaker, S. Nussinov, A. Piepke, F. Plasil, J. Reidy, C. Rosenfeld, D. Smith, I. Stancu, T. D. S. Stanislaus, R. Steinberg, R. Svoboda, Reza Tashakkori, W. Tornow, G. Van Dalen, J.F. Walker, J. W. Watson, A.L. Wintenberg, J. Wolf, D. H. Wright, O. Zeldovich, Wei-Min Zhang

Bibliographic record

VenuePhysics of Atomic Nuclei · 2000
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNeutrino Physics Research
Canadian institutionsTRIUMF
Fundersnot available
KeywordsOak Ridge National LaboratoryPhysicsNeutrinoNational laboratoryBunkerSpallationRidgeSpallation Neutron SourceNuclear physicsNeutrino oscillationEngineering physicsArchaeologyGeography

Abstract

fetched live from OpenAlex

Oak Ridge National Laboratory, Tennessee, USA, ORLaND is a collaboration proposing a major neutrino physics facility at the Spallation Neutrino Source (SNS) at the Oak Ridge National Laboratory. An underground bunker is proposed adjacent to the first target station of the SNS. The bunker is designed to house one large detector (2000 t) and a number of smaller (200 t) detectors. A comprehensive program of neutrino experiments is being developed that could span the lifetime of the Spallation Source.

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)0.004
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.135

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0400.013

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 head0.016
GPT teacher head0.272
Teacher spread0.256 · 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
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

Citations17
Published2000
Admission routes1
Has abstractyes

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