Benchmarking of hygrothermal model against measurements of drying of full-scale wall assemblies
Bibliographic record
Abstract
This paper describes the benchmarking exercise for the present hygrothermal model called 'hygIRC-C' against the hygIRC-2D model that was previously developed at NRC-IRC and test results of laboratory measurements of drying of four full-scale wall assemblies. The wall assemblies were representative of the North American wood frame construction. These walls were subjected to different exterior and interior conditions and varying initial moisture content of OSB sheathing board components. The present hygrothermal model was recently developed at NRC-IRC. This model solves the highly nonlinear and coupled Heat, Air and Moisture (HAM) transport equations. The results showed that the overall agreements between the present model and the hygIRC-2D model as well as the experimental measurements were reasonably good in terms of the shapes of the drying and drying rate curves. Additionally, the predicted average moisture content of the different wall assemblies over the test periods were in good agreement, all being within +5% of those measured.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".