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Record W3210046617 · doi:10.1093/rpd/ncab164

MEASUREMENTS OF NATURAL RADIOACTIVITY IN SOIL SAMPLES FROM SOUTHERN ONTARIO AND ESTIMATION OF THE ACTIVITY CONCENTRATION INDEX IN BUILDING MATERIAL OF LOCAL ORIGIN

2021· article· en· W3210046617 on OpenAlexaffabout
Jing Chen, Weihua Zhang

Bibliographic record

VenueRadiation Protection Dosimetry · 2021
Typearticle
Languageen
FieldMaterials Science
TopicGraphite, nuclear technology, radiation studies
Canadian institutionsHealth Canada
Fundersnot available
KeywordsMasonryEnvironmental scienceRadionuclideSoil testBrickNatural radioactivityCeiling (cloud)Effective dose (radiation)GeologyHydrology (agriculture)Soil scienceSoil waterGeotechnical engineeringArchaeologyGeographyNuclear medicine

Abstract

fetched live from OpenAlex

This paper reports on the measurement of natural radionuclides in soil samples collected from southern Ontario, Canada. The mean activity concentrations in soil are 28, 28 and 641 Bq/kg for 226Ra, 232Th and 40K, respectively. Assuming activity concentrations in masonry materials such as brick and concrete are similar to soil in the surrounding area, the activity concentration index for masonry materials of Southern Ontario origin is estimated as 0.45, ranging from 0.15 to 0.83. The results indicate that the annual effective dose from exposure to gamma radiation in buildings constructed using masonry materials of southern Ontario origin for all structures (floor, ceiling and walls) would be <1 mSv.

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)0.000
metaresearch head score (Gemma)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score0.399

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
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 head0.023
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

Citations1
Published2021
Admission routes2
Has abstractyes

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