On the Exploration of Building Information Modeling Capabilities for Promoting Sustainability-related Practices in Construction Projects: Case Studies in China and USA
Bibliographic record
Abstract
This paper deals with sustainable design and construction, since the interest in and the awareness of green design has grown dramatically in the past several years and the different rating systems used worldwide the main focus will be on LEED; the different LEED certifications available, the process of the certifications, and the criteria on which the certification consider. Additionally, it will relate its new trends with each other by showing how building information modeling can be used to achieve a sustainable design. The powerful tools of building information modeling (BIM) will be discussed that can ease and aid the process of the LEED certification of a building. This paper also reports a demonstration pertinent to the implementation BIM can provide to achieve a sustainable green design. Two case studies are investigated; the first case study is a LEED Gold certified 128-story tower in Shanghai, China while the second is a LEED Platinum certified 13-Story building in San Francisco, USA.
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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 | 0.000 | 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 | 0.001 |
| 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 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".