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Record W2280593305 · doi:10.1002/maco.201508680

On the thermochemical hydrogen release rate and activity transport in a supercritical water‐cooled reactor

2016· article· en· W2280593305 on OpenAlexafffund
Kashif I. Choudhry, Dimitrios T. Kallikragas, Igor M. Svishchev

Bibliographic record

VenueMaterials and Corrosion · 2016
Typearticle
Languageen
FieldEngineering
TopicSubcritical and Supercritical Water Processes
Canadian institutionsTrent University
FundersNatural Sciences and Engineering Research Council of CanadaNatural Resources CanadaAtomic Energy of Canada Limited
KeywordsSupercritical fluidCoolantCorrosionAlloyHydrogenOxidePassivationMaterials scienceMetallurgyChemistryChemical engineeringThermodynamicsComposite materialOrganic chemistryLayer (electronics)

Abstract

fetched live from OpenAlex

Hydrogen evolution and activity release rates for stainless steel SS316 and nickel‐based Alloy 800H at the supercritical water‐cooled reactor (SCWR) conditions were estimated, together with amount of oxygen absorbed into the passivation oxide layers formed on both materials. Hydrogen evolution from an oxidized SS316 surface was found to be about six times larger than from Alloy 800H at constant temperature and pressure of 650 °C and 25 MPa. The largest 60 Co activity release rate due to corrosion was estimated to be for SS316 at 650 °C and at pH10. Because of a single loop design, the radioactive corrosion products of in‐core surfaces of the SCWR are expected to be carried out‐of‐core with the supercritical coolant.

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)0.000
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 score0.004
Threshold uncertainty score0.311

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)0.0000.000

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 head0.009
GPT teacher head0.189
Teacher spread0.181 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations4
Published2016
Admission routes2
Has abstractyes

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