Quantification of the effects of air velocity on VOC emissions from building materials
Bibliographic record
Abstract
It has been recognized that volatile organic compound (VOC) emissions from building materials are affected by environmental factors including surface air movements, temperature, and relative humidity in a room. Considering a wide range of environmental conditions in buildings, the effects of environmental factors can be important in simulating indoor levels of VOCs emitted from building materials. Despite the wide recognition of the issue, most research effort has been focused on qualitative investigations.The goal of this research is to determine the correlation between environmental factors and coefficients of mass-transfer based emission models in a mathematical form. As an initial step toward the goal, the emissions of decane applied on an oak substrate were tested in a 400 L dynamic flow chamber with five levels of air velocity and turbulent kinetic energy. The weight of a specimen was monitored over time. A mass-transfer model that accounts for surface evaporation and internal diffusion was applied to the measured data to determine the model coefficients. It was observed that the estimated evaporation coefficient is linearly proportional to the bulk air velocity in the chamber. Also, there was a power-law relationship between turbulent kinetic energy and evaporation coefficient.
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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) | 0.000 | 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) | 0.000 | 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".