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Record W7146066619

「ふげん」照射用ガドリニア燃料集合体の照射後試験報告書(I) 燃料集合体試験・燃料要素非破壊試験

2003· report· ja· W7146066619 on OpenAlexaboutno aff
Yoshihisa Ikusawa, 菊池 圭一, Hiroaki Nakazawa, 安部 智之, 白井 隆夫, Masahiro Nagayama

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2003
Typereport
Languageja
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsFissile materialMOX fuelSpent nuclear fuelPlutoniumRodIrradiationSolid fuel
DOInot available

Abstract

fetched live from OpenAlex

The irradiation examination on the fuel that was fabricated for the demonstration advanced thermal reactor (DATR), had been conducted in SGHWR in the U.K. and in FUGEN. The FUGEN High Burn-up MOX Fuel Assembly "E09" was developed for high burn-up fuel of DATR. The "E09" MOX fuel assembly was irradiated at the FUGEN from February 1990 to January 1997, and its average burn-up reached 37.7GWd/t. In order to be irradiated up to high burn-up, they had the design improved by applying the fissile content with axial distribution, four UO$_{2}$-Gd$_{2}$O$_{3}$ fuel rods and so on. The E09 fuel assembly had been cooled in the FUGEN spent fuel pool for four years after irradiation. After that, it was transported to Japan Atomic Energy Research Institute (JAERI) Tokai Research Establishment in 2001. Post Irradiation Examinations (PIE) were started in July 2001 at Reactor Fuel Examination Facility in JAERI, and the nondestructive examinations were completed in March 2002. The destructive examinations have been started in April 2002, and will be completed by March 2004. In this report, the data from nondestructive examinations will be summarized, and evaluation results of irradiation performance will be discussed. The integrity of fuel assembly during irradiation was confirmed in the nondestructive PIE. These results will be available for LWR MOX fuel program in Japan and for CANDU-OPTION program, which is one of Russian surplus weapon plutonium disposition programs with AECL in Canada.

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)0.006
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.354
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0060.007
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0030.006
Science and technology studies0.0070.007
Scholarly communication0.0030.007
Open science0.0050.003
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0040.029

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 head0.044
GPT teacher head0.305
Teacher spread0.260 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2003
Admission routes1
Has abstractyes

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Same venueInstitutional Repositories DataBase (IRDB)French-language works237,207