European Thermal Insulation Technology Implementation to Green Building Concept
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The amount of , electricity and other energy resources consumption is directly dependent on thermal insulation of the building. When calculating the cost for thermal insulation it should not be forgotten that the service life of the material is at least 20 years, and this procedure can reduce cost for heating by 50-80%. Up to 40% of heat is lost through the walls. The only possible way to reduce heat loss through the exterior envelope is the wall insulation. Heat loss problem applies not only to the harsh climatic conditions of Russia but also European countries with the moderately monsoon climate. Based on the data obtained under the program of international internship «Master Degree in Innovative Technologies in Energy Efficient Buildings for Russian & Armenian Universities and Stakeholders» at the University of Genoa (Italy), the article discusses the possibility of using European technology of thermal insulation of external walls in order to implement the green building concept under conditions of the transition from continental to marine climate of St. Petersburg. Considered technology is actively used in North Italy, Germany and Canada. During the work, data were obtained on the heat engineering characteristics of the method, life cycle assessment of thermal insulation materials was made, and economic feasibility of measures is given.
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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 | 0.000 | 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 | 0.001 | 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) | 0.000 | 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 it