Bibliographic record
Abstract
According to UNSCEAR (United Nations Scientific Committee on the Effects of Atomic Radiations), no less than 10% of lung cancer diseases registered annually are caused by radon radiation. Born in the belly of the earth, the same gas, a class I cancirogen, increases the risk of non-cancerous diseases of the upper respiratory tract and cardiovascular diseases. The radon problem occupies an important place in the radioecological programs of the USA, Japan, Western Europe and Russia. However, the natural radiation varies in the background from location to location. In many countries, survey work is being carried out, including an assessment of the intensity of the radon hazards of sites allocated for construction. In Russia, the Radiation Safety Standards are stipulating that the concentration of radon in the air of residential premises should not exceed 200 Bq/m3; in Sweden, the maximum radon concentration is taken as 100 Bq/m3, in Finland and Canada - 400 Bq/m3, and in Germany and Great Britain - 200 Bq/m3. It is necessary to carefully choose the constructive site, with the minimum concentration of radon in the soil. Our purpose is to carry out a cartographic analysis of radon intake from soil in the territory of Kazan. An important component is the creation of unique maps based on the measurement of radon escalation. The practical significance of the work lies in the application of the results for making management decisions, in engineering and environmental surveys, for conducting hygienic assessments, or simply being used by citizens for informational purposes.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".