Diurnal and seasonal influence on the indoor radon levels in dwellings of Sharjah Emirate as well its estimation of annual effective dose
Bibliographic record
Abstract
Radon, a proven highly carcinogenic gas, has raised serious concerns, necessitating its measurement in residential areas. In the coastal city of Sharjah, United Arab Emirates (UAE), the first indoor radon concentration measurements were conducted. Following the Environmental Protection Agency (EPA) protocol, active radon detectors were employed in the living rooms of houses across the south-east region of the city. Measurements revealed that, the mean values during winter are of (39.6 ± 12.2) Bq/m3 (floor 1) and (35.7 ± 9.8) Bq/m3 (floor 2), while in summer, levels were slightly higher on floor 1 (55.8 ± 10.1) Bq/m3 compared to floor 2 (47.8 ± 12.6) Bq/m3. Ground floor analysis showed mean values of (57.0 ± 12) Bq/m3 in summer and (49.0 ± 16) Bq/m3 in winter. Higher summer levels were linked to climatic conditions and increased time spent indoors. The excess lifetime cancer risk for ground floor radon was estimated as 0.341% over 25 years. Annual dose equivalent was calculated using International Commission on Radiological Protection (ICRP) and United Nations Scientific Committee on the Effects of Atomic Radiation (UNSCEAR) models. The calculated results were found to range from 1.7 to 3.0 millisieverts (mSv), which is within permissible limits.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".