Study on Indonesian Overall Thermal Transfer Value (OTTV) Standard
Bibliographic record
Abstract
Currently buildings in the world become the biggest energy consumers. Energy efficient buildings must be built to reduce energy use by buildings. Building standards is needed to achieve this goal. One of the building standards is based on Overall Thermal Transfer Value (OTTV). The OTTV is a value indicating the average rate of heat transfer into a building through the building envelope. The first country in Asia to adopt the standard is Singapore. It is then followed by other countries in South Asia region including Indonesia. The current Indonesian standard on OTTV is Envelope Energy Conservation in Buildings, SNI 6389: 2011. Parametric analysis on OTTV formula based on Indonesian standard shows that the parameter having the biggest and the smallest impact on OTTV value is window-towall ratio and wall absorptance, respectively. The experiment also reveals that different building orientations will cause only small change in OTTV value.
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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 | 0.000 |
| 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 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".