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Record W4413326711 · doi:10.1016/j.jenvrad.2025.107776

Toward a modification of the soil compartment of the CSA N288.1 environmental transfer model for permafrost conditions

2025· article· en· W4413326711 on OpenAlexafffundabout
Trevor J. Stocki, Xiangyi Chai, H B O'Neill, Andrew Arden

Bibliographic record

VenueJournal of Environmental Radioactivity · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsGeological Survey of CanadaNatural Resources CanadaHealth Canada
FundersNatural Resources CanadaHealth Canada
KeywordsPermafrostCompartment (ship)Environmental scienceSoil scienceEarth scienceHydrology (agriculture)GeologyOceanographyGeotechnical engineering

Abstract

fetched live from OpenAlex

The Canadian road map for Small Modular Reactors (SMRs) details that possible uses for SMRs includes providing electricity to remote communities. Many of the communities in the Canadian Arctic use diesel fuel generators to provide electricity. SMRs provide a possible future alternative to the combustion of fossil fuels in these communities. This has been done before by the United States Army Nuclear Power Program (ANPP) and Russia currently uses two SMRs to supply electricity in the Arctic. For power reactors in Canada, Derived Release Limits must be calculated using the N288.1 environmental compartment model. There is a compartment for soil in the N288.1 model that includes a few different soil types. However, the compartment is not suitable for soils that are underlain by permafrost (cryosols). In this paper we describe how the N288.1 soil compartment could be modified for permafrost conditions, and specifically those representative of the continuous permafrost zone, where 90–100 % of the ground underlying the surface is perennially frozen. We provide example calculations using the modified version of the N288.1 soil compartment representative of conditions around Inuvik, a site in continuous permafrost. In general the specific calculations of the modified N288.1 standard tend to decrease the value of the P 13 (air to soil) transfer factor.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.266
Threshold uncertainty score0.527

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 head0.042
GPT teacher head0.246
Teacher spread0.204 · 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 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

Citations1
Published2025
Admission routes3
Has abstractyes

Explore more

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