Predicting geographic variations of indoor radon potential across southwestern Ontario using geoscience data
Bibliographic record
Abstract
Estimating indoor radon variations using regional geoscience data for southwestern Ontario generally shows a progressive and clearly positive association. Uranium concentrations measured by airborne gamma ray spectrometry show the strongest positive association with elevated indoor radon concentrations followed by estimated radon potential derived from regional bedrock geology. Comparisons between relative permeability derived from regional surficial geology and indoor radon concentrations were inconclusive. Closer examination suggests that this may not always be the case and that permeability is still an important factor at local scales. The positive associations between selected regional geoscience datasets, in particular uranium concentrations measured by airborne gamma ray spectrometry and elevated indoor radon concentrations, illustrates their use as effective predictive tools for the identification of areas with increased potential for overexposure to indoor radon, including areas without residential development. These positive associations can be used to support targeted or follow-up radon studies and for future land-use planning decisions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".