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Record W111824677

Current Experiments in Elementary Particle Physics (September 1989)

2010· article· en· W111824677 on OpenAlexaboutno aff
C.G. Wohl

Bibliographic record

VenueeScholarship (California Digital Library) · 2010
Typearticle
Languageen
FieldEngineering
TopicParticle accelerators and beam dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsDESYNuclear physicsNational laboratoryElementary particle physicsFermilabParticle physicsEngineering physics
DOInot available

Abstract

fetched live from OpenAlex

LBL--91-Rev.-9/89 DE90 008062 C U R R E N T EXPERIMENTS IN ELEMENTARY PARTICLE PHYSICS C.G. Wohl, F.E. Armstrong, T.G. Trippe, G.P. Yost Particle Data Group, Physics Div., Lawrence Berkeley Laboratory, 1 Cyclotron Rd., Berkeley, CA 94720 USA Y. Oyanagi University of Tsukuba, Sakura-mura, Niihari-gun, Ibaraki-ken 305, Japan D.C. Dodder Los Alamos National Laboratory, Los Alamos, NM 87545, USA Yu.G. Ryabov, S.R. Slabospitsky Institute for High Energy Physics, Serpukhov, Protvino, Moscow Region 142 284, USSR R. Frosch Swiss Institute for Nuclear Research, CH-5234 Villigen, Switzerland A. Olin TRIUMF, 4004 Wesbrook Mall, Vancouver BC V6T 2A3, Canada F. Lehar DPhPE-SEPh, CEN Saclay, F-91190 Gif-sur-Yvette, France I.A. Klumov Institute of Theoretical and Experimental Physics, Moscow 117 259, USSR I.I. Ivanov Joint Institute for Nuclear Research (Dubna), Moscow 101 000, USSR Abstract - This report contains summaries of 736 current and recent experiments in elementary particle physics (experiments that finished taking data before 1982 are excluded). Included are experiments at Brookhaven, CERN, CESR, DESY, Fermilab, Tokyo Institute of Nuclear Studies, Moscow Institute of Theoretical and Experimental Physics, Joint Institute for Nuclear Research (Dubna), KEK, LAMPF, Novosibirsk, PSI/SIN, Saclay, Serpukhov, SLAC, and TRIUMF, and also several underground experiments. Also given are instructions for searching online the computer database (maintained under the SLAC/SPIRES system) that contains the summaries. Properties of the fixed-target beams at most of the laboratories are summarized. The Berkeley Particle Data Group is supported by the Director, Office of Energy Research, Office of High Energy and Nuclear Physics, Division of High Energy Physics of the U. S. Department of Energy under Contract No. DE-A C03- 76SF00098, and by the U.S. National Science Foundation under Agreement No. PHY86-15529. Partial funding to cover the cost of PDG publications is also provided by an implementing arrangement between the governments of Japan (Monbusho) and the United States (DOE) on cooperative research and development. MASTER e DISTRIBUTION OF IM10 U O O j i V l t N l ' iS UNLIMITED

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.847
Threshold uncertainty score1.000

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 communication0.0010.003
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.015
GPT teacher head0.234
Teacher spread0.219 · 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 designObservational
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
Published2010
Admission routes1
Has abstractyes

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