Application of wide-band liquid crystal reflective windows in building energy efficiency: a case study of educational buildings
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 purpose of this article is to study the impact of seven different window systems on overall energy consumption of educational buildings. In particular, four of the windows are non-traditional liquid crystal base, namely 1) Tunable, 2) Broadband Type 1, 3) Broadband Type 2, and 4) Broadband Type 3. For the purpose of simulation, a LEED Gold certified building located at a major university in the U.S. was modeled, benchmarked, and calibrated. Then several scenarios according to window choices haven been tested, both in actual and different climate zones. The results show, Broadband Type 2 and Type 3 can make a significant impact in reducing building energy consumption. Their contribution is higher for projects located in hotter climates.
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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 | 0.000 | 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