A Thermal and moisture property database for common building and insulation materials
Bibliographic record
Abstract
An ASHRAE Research Project (RP-1018) that has been concluded at the Institute for Research in Construction, the National Research Council of Canada, has resulted in a unique database on many hygrothermal properties of many common building and insulation materials that are currently used in North America. The properties that are determined include thermal conductivity, equilibrium moisture content, water vapor transmission characteristics, water absorption coefficient, moisture diffusivity and airflow characteristics. The experimental and analytical procedures used in the research project are all based on either International Standards or on well-documented and peer-reviewed approaches. The materials that have been investigated in the project include: several wood-based products, such as oriented strand board, plywood, wood fiberboard and composite wood siding; masonry products, such as clay brick, mortar and aerated concrete; five species of lumber; cladding products, such as stucco, fiber cement board and the exterior coatings of EIFS systems; seven insulation products; six sheathing membranes; interior gypsum board, primer and a latex paint; a natural stone, a cement-based sheathing board and vinyl wallpaper. This paper lists the basic information on all materials that are investigated. It also summarizes the principles of the experimental procedures. Illustrative examples of the information that have been generated in the research project are presented. Results from statistical analyses are highlighted.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.017 | 0.012 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.015 |
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".