A New Testing Method to Evaluate the Relative Drying Performance of Different Building Envelope Systems Using Water Trays in Stud Cavities as Moisture Source
Bibliographic record
Abstract
Due to defects in construction, design, and/or deterioration during operation, failure occurs where rain water penetrates into stud cavities of wall systems. Some wall systems tolerate this water intrusion better than others. A new test method has been developed to evaluate the relative capacities of different wall systems to dry out the invading water. In the test setup, the walls of a two-story test hut were made up of 31 wall assemblies (each 2.44×0.76 m2) of different configurations. The hut was erected within a large climatic chamber and subjected to a steady-state climatic loading for 288 days. Within each stud cavity, a water tray on an electronic load cell was placed on the bottom plate to provide a moisture source that represents water penetrating into the stud cavity and provides a consistent moisture loading from one specimen to another. Each wall assembly was instrumented with 25 gravimetric samples and relative humidity and temperature sensors/probes. Indexes were developed to indicate the relative performance of the walls.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".