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Record W2031159180 · doi:10.1134/s0020441212020236

Organization of the fast data acquisition and synchronization in the ITER plant control system

2012· article· en· W2031159180 on OpenAlexaff
S.S. Portone, N.L. Marusov, E. Mironova, E. S. Rogova, I.B. Semenov

Bibliographic record

VenueInstruments and Experimental Techniques · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsAtomic Energy (Canada)
Fundersnot available
KeywordsSynchronizingComputer scienceSynchronization (alternating current)Data acquisitionQuantization (signal processing)Control systemProcess (computing)Control (management)Channel (broadcasting)TelecommunicationsElectrical engineeringOperating systemEngineeringArtificial intelligence

Abstract

fetched live from OpenAlex

Main components of the control data acquisition and communication (CODAC) system for process technologies of the ITER plant are described. The CODAC system demonstrates the state-of-the-art level of high-performance measuring and control systems. The solution to designing stationary ultrahigh-speed measuring channels (quantization frequency is ≥1 GHz) is proposed in the ITER project. The organization of synchronizing the measuring channel synchronization system with the universal time is considered in the ITER project.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.686
Threshold uncertainty score0.691

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)0.0010.000

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 head0.010
GPT teacher head0.259
Teacher spread0.249 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2012
Admission routes1
Has abstractyes

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