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
Green buildings have become a global trend in recent years, reflecting a social order for sustainable development from the sides of all stakeholders. This is confirmed by the fact that the global construction of green buildings comprises for almost a quarter of the total production of all buildings. Buildings generally represent a huge sector of energy consumers, so it is now necessary to reduce this consumption through smart design solutions and an appropriate building management system that will ensure efforts to achieve sustainable and smart urban requirements for the use of intelligent technologies. Regarding to the development of green buildings, Slovakia belongs to developing countries. The term "green building" is slowly becoming familiar in Slovakia, although it should be noted that the green building certification systems are only at the beginning. Also, the legislative and other financial support instruments for green buildings in Slovakia are under the phase of consideration and do not exist in practice. In the following paper, the authors explore green building sector in Slovakia. They present their development and overview, rating systems and analyses the most important investors and key local companies related to green buildings in Slovakia.
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.
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 | 0.001 |
| 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) | 0.000 | 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