Exposure to Condensation Moisture of Sheathing in Retrofitted Leaky Wall Assemblies
Bibliographic record
Abstract
Exfiltration of moist indoor air during winter conditions may lead to the gradual wetting of the sheathing of wall assemblies that are not airtight. In this study, seven full-scale wood-frame wall specimens were tested to evaluate the impact of both the geometry of the air leakage path and the addition of rigid insulation on the warm side or the cold side of the assembly on the hygrothermal response of wall assemblies. Walls were exposed to 72days of steady-state winter conditions and 47days of steady-state late spring conditions. The position of the added rigid insulation and the geometry of the air leakage paths were different in each wall specimen. The moisture content of the fiberboard sheathing was monitored, and the results are presented. The evolution over time of the moisture distribution across the plane of the sheathing is also presented. The duration of exposure to moisture content above 19 and 28% is examined, allowing a comparison of the performance of the specimens. Leaky assemblies with vapor-tight insulation board added on their cold side were exposed to high moisture content longer than the assemblies not reinsulated or reinsulated on their warm side because the assemblies without insulation on the cold side of the sheathing were exposed to a buildup of frost that prevented moisture to be absorbed by the sheathing.
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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 | 0.000 |
| 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 | 0.000 |
| 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".