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Record W2469260009 · doi:10.13182/fst02-a22749

Design and Operational Experience with a Pilot-Scale CECE Detritiation Process

2002· article· en· W2469260009 on OpenAlexaff
J. M. Miller, William R.C. Graham, S. L. Celovsky, J.R.R. Tremblay, A. E. Everatt

Bibliographic record

VenueFusion Science & Technology · 2002
Typearticle
Languageen
FieldChemical Engineering
TopicAmmonia Synthesis and Nitrogen Reduction
Canadian institutionsAtomic Energy (Canada)
Fundersnot available
KeywordsTritiumElectrolysisHeavy waterDeuteriumNuclear engineeringTitaniumMaterials scienceRadiochemistryEnvironmental scienceNuclear physicsElectrolyteChemistryPhysicsEngineeringMetallurgy

Abstract

fetched live from OpenAlex

A 5 Mg/annum Combined Electrolysis Catalytic Exchange (CECE) Facility was designed, constructed and operated to demonstrate the CECE process for heavy water detritiation. In this demonstration facility, a liquid-phase catalytic exchange (LPCE) column, using AECL’s wetproofed catalyst, separated tritium from deuterium and a specially designed, low-inventory electrolytic cell provided tritium-enriched deuterium to the LPCE column. An overhead recombiner, also using wetproofed catalyst, produced detritiated heavy water. Tritium was removed from the electrolysis cell as tritiated deuterium gas and packaged as a titanium deuteride. The design detritiation factor of 100 was readily achieved using a 370 GBq/kg heavy water feed. Design features, operational experience and results from the 4-month, 2 000-h operation are described.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.022
GPT teacher head0.246
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations48
Published2002
Admission routes1
Has abstractyes

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