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Record W2538362893 · doi:10.12943/cnr.2016.00016

A CANADIAN PERSPECTIVE ON PROGRESS IN THORIA FUEL SCIENCE AND TECHNOLOGY

2016· article· en· W2538362893 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCNL Nuclear Review · 2016
Typearticle
Languageen
FieldMaterials Science
TopicNuclear Materials and Properties
Canadian institutionsCanadian Nuclear Laboratories
FundersOak Ridge National LaboratoryInternational Atomic Energy AgencyVanderbilt University
KeywordsThoriumSoftware deploymentFuel cycleNuclear powerSpent nuclear fuelNuclear weaponNuclear technologyWaste managementEnvironmental scienceEngineeringPolitical sciencePhysicsNuclear physicsUranium

Abstract

fetched live from OpenAlex

Thorium is anticipated to play a potentially significant role in the world’s future energy supply as the international nuclear power industry moves towards the implementation of more sustainable nuclear technologies and advanced fuel cycles. Canadian Nuclear Laboratories (CNL), formerly Atomic Energy of Canada Limited, has been investigating thorium-fuelled reactor concepts and developing thoria (thorium dioxide) fuel technology for more than 55 years, complimenting international experience in the development of thorium-based fuel cycles. Although there is a strong foundation based on past experience, gaps exist in the science and technology (S&T) required to implement the use of thorium-based fuels on an industrial scale. In this paper, progress in thoria fuel S&T is reviewed and research and development needs for the deployment of thorium-based fuel cycles (with the focus on the use of thoria, ThO2) are identified from a Canadian perspective. CNL plans to address known S&T gaps are also discussed.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.950
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.013
GPT teacher head0.265
Teacher spread0.251 · 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