Use of the Modified Cup Method to Determine Temperature Dependency of Water Vapor Transmission Properties of Building Materials
Bibliographic record
Abstract
Abstract This paper describes a modified cup method and its application to investigate the effects of temperature on the water vapor transmission (WVT) properties of building materials. The modified cup method is a simple and versatile technique that allows the user to vary the temperature condition of the test without altering the relative humidity. Two commonly used building materials considered in this study were fiberboard and gypsum board. The five temperature levels under consideration were between 7°C and 43°C. The WVT properties were measured at 50 % average relative humidity. The results obtained from these tests are critically analyzed and reported in this paper. These results demonstrate that there is a steady exponential increase of WVT rate, through both the materials tested, with temperature. However, water vapor permeability (WVP) through the materials shows no significant change due to the variation of temperature between 7 and 43°C. The general observations made in this study confirm that the modified cup method could be used reliably to measure WVT properties of building materials. Detailed analysis of the test results also reaffirms the fact that, for fiberboard and gypsum board, at 50 % average relative humidity condition, the WVP is not dependent on the temperature condition.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".