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Record W4416822229 · doi:10.1016/j.net.2025.104057

Neutron flux and gamma dose rate measurements in RMC's SLOWPOKE-2 reactor

2025· article· en· W4416822229 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueNuclear Engineering and Technology · 2025
Typearticle
Languageen
FieldEngineering
TopicNuclear reactor physics and engineering
Canadian institutionsRoyal Military College of CanadaCanadian Nuclear Laboratories
FundersAtomic Energy of Canada Limited
KeywordsElectromagnetic shieldingNeutron fluxNeutronGamma rayBoric acidFlux (metallurgy)Shielded cableEnclosureDose rate

Abstract

fetched live from OpenAlex

A shielded sample enclosure in the RMC SLOWPOKE-2 reactor is being investigated for future studies of irradiation effects on I&C cables. To inform the construction of the enclosure, half-power (10 kW) MCNP simulations were performed Compared to aluminum, zircaloy-4 and tungsten, lead was found to be most effective at selectively shielding gamma rays for various enclosure designs. The neutron flux and gamma dose rates calculated in the selected enclosure model with 1 cm of lead shielding were 1.81⋅10 10 n⋅cm -2 ⋅s -1 and 37.9 krad⋅hr -1 , respectively. The neutron flux and gamma dose rates were then measured in the constructed enclosure. The neutron flux ranged from 1.80⋅10 10 to 2.81⋅10 10 n⋅cm -2 ⋅s -1 , while the gamma dose rate ranged from 91.5 to 111 krad⋅hr -1 . Additional trials were performed using cadmium and boric acid shielding on the probe to protect against neutron interference on the gamma probe and rectify differences between the modeling and experimental results. Using cadmium, the gamma dose rate increased between 10 and 29%, and using boric acid, was decreased by 13%.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.919
Threshold uncertainty score0.964

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 head0.006
GPT teacher head0.179
Teacher spread0.173 · 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