A Moisture Index to Characterize Climates for Building Envelope Design
Bibliographic record
Abstract
Premature failures of building envelopes in the 1990s, notably in coastal areas of North America, point to problems with Moisture management by Exterior Wall Systems (MEWS) 1 . The MEWS Consortium sought to combine field experience with lab testing and hygrothermal modeling to understand and deal with these problems. The method proposed in this paper was used in MEWS to (1) characterize climate with respect to the risk of related building envelope problems, (2) select locations of interest for a detailed hygrothermal parametric study, and (3) to select moisture reference years for the parametric study (not covered in this paper). This paper describes a method proposed for mapping North American climatic regions according to moisture loading on one hand, and the potential for drying on the other. The composite Moisture Index can be used either with hourly records or summary data and shows promise for application to specific problems, such as decay or corrosion, depending on the nature and mechanisms of the problem being investigated.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".