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Record W4399808940 · doi:10.1080/03067319.2024.2369194

Analysis of radon progeny contamination

2024· article· en· W4399808940 on OpenAlexaff
V. Kovaltchouk

Bibliographic record

VenueInternational Journal of Environmental & Analytical Chemistry · 2024
Typearticle
Languageen
FieldHealth Professions
TopicRadioactivity and Radon Measurements
Canadian institutionsAlberta Energy
Fundersnot available
KeywordsContaminationRadonEnvironmental scienceRadiochemistryRadioactive contaminationEnvironmental chemistryChemistryWaste managementBiologyPhysics

Abstract

fetched live from OpenAlex

In the present work, the radon contamination has been investigated with a high-purity germanium detector and dual ‘gamma + beta’ and ‘alpha’ contamination metre. Radioactive radon (222Rn) and products of its decay were collected by well-known swiping technique. Naturally occurring dust deposited on a plastic surface was collected and the radiation emissions coming from the collected sample were measured and analysed. The main radioactive isotopes contributing to the gamma spectrum were determined. The time behaviour of radon progeny contributing to gamma and alpha activities was investigated and compared with a modelled forecast. The minimal detectable activity when the radon progeny could be determined with a high-purity germanium gamma spectrometer has been established. Also, the minimum activity, measured with a dual contamination metre, has been recognised at which the presence of radon progeny contamination can be determined using gamma spectrometry. A new method is proposed for determining the duration of radon contamination and the time when the contamination occurred. The method is based on the analysis of the relative gamma activities of radon progeny (214Pb and214Bi) measured at different times after the radon contamination.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.386
Teacher spread0.355 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

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