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Record W3037191982 · doi:10.1002/maco.202011763

An update on the copper corrosion program for the long‐term management of used nuclear fuel in Canada

2020· article· en· W3037191982 on OpenAlex
Peter Keech, Mehran Behazin, W. Jeffrey Binns, Scott Briggs

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueMaterials and Corrosion · 2020
Typearticle
Languageen
FieldMaterials Science
TopicNuclear Materials and Properties
Canadian institutionsNuclear Waste Management Organization
FundersUniversity of TorontoYork UniversityNationale Genossenschaft für die Lagerung radioaktiver AbfälleNuclear Waste Management Organization
KeywordsCorrosionSpent nuclear fuelAllowance (engineering)Radioactive wasteCopperEnvironmental scienceTerm (time)Mining engineeringWaste managementGeologyMetallurgyEngineeringMaterials scienceOperations management

Abstract

fetched live from OpenAlex

Abstract In 2012, the Nuclear Waste Management Organization developed a comprehensive proof test plan (PTP) to evaluate the feasibility and safety of their copper‐coated used fuel container and their novel bentonite buffer box emplacement concept to be employed in its proposed deep geological repository for the long‐term management of used nuclear fuel. Research within the PTP includes several programs to evaluate the possible extent of damage that may be caused by various copper corrosion mechanisms: oxic‐, radiolytic‐, anoxic‐, and sulfide‐induced, with particular attention being paid to the possibility of localization of any of these processes. Programs remain on track to support and refine a maximum copper corrosion allowance of <1.27 mm over a one million year emplacement in a deep geological repository.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.984

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 head0.024
GPT teacher head0.233
Teacher spread0.209 · 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