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Record W2184513221

A GIS Approach to Produce a Map of the Potential for Radon in Indoor Air in Nova Scotia

2011· article· en· W2184513221 on OpenAlexaboutno aff
Terry A. Goodwin, J. S. McKinnon, Brandy E. Fisher

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicRadioactivity and Radon Measurements
Canadian institutionsnot available
Fundersnot available
KeywordsRadonNova scotiaGuidelineGovernment (linguistics)Environmental healthEnvironmental planningRadon gasEnvironmental scienceGeographyArchaeologyMedicine
DOInot available

Abstract

fetched live from OpenAlex

The Mineral Resources Branch initiated a project in 2007 utilizing a GIS-based approach to produce a map of the province showing the potential for radon in indoor air (O’Reilly et al., 2010). Radon is a naturally occurring, radioactive gas produced from the radioactive decay of uranium, and is the second leading cause of lung cancer after smoking and is the leading cause of lung cancer in non-smokers. There have been studies in the past (e.g. Jackson, 1990) that clearly demonstrate certain geological regions of the province are prone to having homes exceeding the Health Canada established guideline of 200 mBq/m for radon in indoor air. In some cases, homes as high as 20 times the guideline have been reported. No region in the province is devoid of homes exceeding the Health Canada guideline, which leads government to recommend that all homeowners should test their home for radon. However, it is thought that a map showing regions where there is a higher likelihood of having homes in exceedence would be useful to other government agencies, land-use planners, real estate agents and the general public.

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)0.001
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 score0.095
Threshold uncertainty score0.832

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.137
GPT teacher head0.364
Teacher spread0.227 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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