Verification and validation: establishing confidence in hygrothermal tools
Bibliographic record
Abstract
The hygrothermal performance of building envelope systems is dictated by their responses to combined heat, air and moisture fluctuations produced by exterior and interior conditions. Research has focused on both laboratory experimentation and modeling of envelope systems by computer programs (hygrothermal tools). Experimental studies played a crucial role in the development of hygrothermal tools, and continue to offer useful information for their improvement. To be used with confidence, however, hygrothermal tools must be verified and, if possible, validated. To date, no comprehensive schemes for benchmarking hygrothermal tools exist as, for example, exist for energy simulation tools. Three comparisons are typically used to show the practical merits of simulation tools: inter-model, analytical, and empirical. This paper demonstrates how confidence in a 1-dimensional hygrothermal simulation tool can be built by such comparisons, and proposes them as the basis for a verification and validation methodology.
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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".