Medidas de radón en espacios de trabajo subterráneos del Campus de la Universidad de Alicante
Bibliographic record
Abstract
Measurements of radioactive radon gas in underground workplaces in the Campus of the University of Alicante were performed using short period E-PERM® devices during the winter of 2010 and summer of 2011. The obtained radon concentrations show maximum values of 73.8 Bq/m<sup>3</sup> in winter and 84.0 Bq/m<sup>3</sup> in summer, and an arithmetic mean of 30.3 Bq/m<sup>3</sup>.&#13; Despite not considering annual mean concentrations, results are below those included in 90/143/Euratom European Commission Recommendation on the protection of the public against the dangers of radon exposure inside buildings, as well as those established by the Nuclear Security Council IS-33 Instruction in workplaces, contributing to the evaluation of the national distribution of radon and paying attention to radon problems in underground spaces.<br><br>Las medidas del gas radiactivo radón en lugares de trabajo subterráneos del Campus de la Universidad de Alicante fueron realizadas mediante dispositivos E-PERM® de corto plazo durante el invierno de 2010 y el verano de 2011. Las concentraciones de radón obtenidas muestran valores máximos de 73,8 Bq/m<sup>3</sup> en invierno y 84,0 Bq/m<sup>3</sup> en verano, así como una media aritmética de 30,3 Bq/m<sup>3</sup>. &#13; Aunque no se abordan concentraciones medias anuales, todos los resultados se encuentran por debajo de los valores recogidos en la Recomendación 90/143/ EURATOM de la Comisión Europea relativa a la protección de la población contra los peligros de una exposición al radón en el interior de edificios así como los establecidos por la Instrucción IS-33 del Consejo de Seguridad Nuclear en lugares de trabajo, contribuyendo a la evaluación de la distribución de radón a nivel nacional y prestando atención a los problemas que este gas puede ocasionar en espacios subterráneos.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".