Characterization and modeling of unsaturated water liquid transport in softwoods
Bibliographic record
Abstract
Moisture sources in the building envelope are, in order of magnitude: rain penetration, moisture brought through air movement and moisture diffusion. As rain water impinges onto the wall and runs off the surface, water may seep into cracks and accumulate within the wood frame structure. Water can move by capillary action into wood-based components and the water vapor can also be diffusing through the structure. In the hygroscopic range, the theory has evolved considerably, and by the use of sorption curves, it is possible to explain the absorption of water in the vapor phase for a range of relative humidity (from 0 to 95% RH). However, liquid mass diffusivities of water for many Canadian wood species have not yet been investigated. The main objectives of this study are to quantify averaged values of diffusivities for a specific type of wood (jack pine), and to develop a transient modeling approach for liquid-phase water transport in wood considering the orthotropic effect of the wood structure and compare it to experimental results.
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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 | 0.001 | 0.000 |
| 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 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".