MétaCan
Menu
Back to cohort
Record W2899729951

SPATIAL AND BULK REACTIVITY SYSTEMS DESIGN AND OPTIMIZATION FOR THE CANADIAN SUPERCRITICAL WATER REACTOR

2016· article· en· W2899729951 on OpenAlexvenueaboutno aff
Frédéric Salaun, D. R. Novog

Bibliographic record

VenueCNL Nuclear Review · 2016
Typearticle
Languageen
FieldEngineering
TopicNuclear reactor physics and engineering
Canadian institutionsnot available
Fundersnot available
KeywordsControl rodSupercritical fluidNuclear engineeringCoolantNuclear reactor coreMechanicsMaterials scienceControl theory (sociology)EngineeringMechanical engineeringPhysicsThermodynamicsComputer scienceControl (management)
DOInot available

Abstract

fetched live from OpenAlex

A full-core reactor physics model of the Canadian SCWR concept was modeled, including proposed reactivity control devices. Fuel-integrated burnable absorbers and control blades, adjusted throughout the cycle, have been implemented in the fuel lattice cell to compensate for the excess reactivity. In addition to bulk reactivity control, the control blades provide radial flux shaping to minimize channel power fluctuations during the fuel cycle. As each channel has a static orifice at the inlet which imposes the coolant mass flow rate for a specific reference channel power, each channel power has to be maintained as close as possible to its designed power so that deviations from the target exit coolant temperature are minimized. The combination of burnable absorbers and variable insertion control rods ensures that the bulk and spatial reactivity is managed as well as maintaining channel powers as close to the reference as possible throughout the cycle. The analysis was performed by coupling the reactor core p...

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.879
Threshold uncertainty score0.248

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 head0.019
GPT teacher head0.200
Teacher spread0.181 · 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 designNot applicable
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

Citations5
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueCNL Nuclear ReviewSame topicNuclear reactor physics and engineeringFrench-language works237,207