Application of VIPs in Canada’s North—Monitoring Results
Bibliographic record
Abstract
In Canada, known for its cold climate, there is great potential to use vacuum insulation panels (VIPs) for exterior building envelope construction. The introduction of Canada’s 2015 national energy code for buildings has made VIPs a very attractive choice for designers and builders. This new energy code aims to achieve about 25 % less energy use in buildings than the 1997 version of the same. The code changes and Canada’s cold climate have increased interest in better building insulation in general and in VIPs in particular. VIPs have thermal resistance values much greater (5 to 10 times) than those of conventional thermal insulation materials. In the Yukon, VIPs have been used as thermal insulation in two applications where thermal performance monitoring is in progress: (1) in a retrofit of a commercial building and (2) in a new home. This paper summarizes results from the temperature monitoring in the commercial building. These field thermal performance monitoring results, observations, and the lessons learned are presented to help the building enclosure construction community in Canada, and researchers, designers, and end-users around the world, to make the best use of the unique properties and performance of VIPs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".