Drying experiment of wood-frame wall assemblies performed in the climatic chamber EEEF: specification of equipment used in EEEF - Environmental Exposure Envelope Facility
Bibliographic record
Abstract
IRC's Building Envelope and Structure Program has a new and unique test facility that incorporates a computer automated environmental chamber with a weighing system for full-scale wall assemblies (2.43 m x 2.43 m), climate sensors, data acquisition systems and post-processing tools. The climatic chamber, which is unique in North America, is known as Envelope Environmental Exposure Facility (EEEF). It can simulate interior and exterior climatic conditions over an extended period of time, controlling both temperatures (ranging from -47° to +48° C) on the " weather" side of the wall and humidity levels ranging from 10 to 100% RH. Researchers, in conjunction with key industry partners, are using the facility to benchmark the thermal and moisture performance of walls in various climates, and the interfaces between walls and a) other building elements (such as windows) and b) at the penetrations. The EEEF has been used to gather key information regarding the rate of drying of specific wood-frame wall components when subjected to simulated rainfall. The development of the EEEF has been an on-going effort within the program to help address issues regarding effective moisture control in the building envelope.
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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 | 0.000 | 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) | 0.002 | 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".