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Application of Copper Coatings onto Used-Fuel Canisters for the Canadian Nuclear Industry

2016· book-chapter· en· W4234913661 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueASM International eBooks · 2016
Typebook-chapter
Languageen
FieldEngineering
TopicHigh-Temperature Coating Behaviors
Canadian institutionsNuclear Waste Management OrganizationNational Research Council Canada
Fundersnot available
KeywordsCoatingCopperMaterials scienceMetallurgyRadioactive wasteSpent nuclear fuelCorrosionScale (ratio)EngineeringWaste managementComposite materialGeography

Abstract

fetched live from OpenAlex

Abstract The Nuclear Waste Management Organization (NWMO) investigates approaches for managing Canada's used nuclear fuel. As part of a larger program investigating concepts of copper coatings, NWMO has begun exploring copper cold spray in collaboration with the National Research Council. Within the coating program, a large variety of copper coating sizes have been investigated, from small corrosion coupons to full-scale used-fuel containers/canisters (UFCs). This chapter demonstrates the successful application of copper coating technology to full-scale geometric representative Mark II UFC mock-up configurations through activities involving powder selection, general coating development, UFC coating optimization, and prototyping.

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)0.000
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: Other · Consensus signal: none
Teacher disagreement score0.982
Threshold uncertainty score0.999

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 science0.0010.000
Research integrity0.0010.001
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 head0.015
GPT teacher head0.232
Teacher spread0.216 · 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