Sorption coefficients for interactions between volatile organic compounds and indoor surface materials from small-scale, large-scale, and field tests
Bibliographic record
Abstract
Adsorption and desorption by indoor surface materials can have significant impacts on the level of volatile organic compounds (VOCs) indoors. Models for the sink effects consist of two coefficients: sorption (ka) and desorption (kd). Two coefficients were determined from 7 VOCs and 15 combinations of materials using small-scale chamber tests. Additionally, these coefficients were evaluated with data from scale-up experiments involving a large-scale laboratory chamber (10.4 m 3 ), two rooms (9.7 and 28.4 m 3 ) in a test house, and a second test house (500 m 3 ). Conflicting results were obtained from large-scale laboratory and field experiments. Concentration measurements in a large-scale chamber were reasonably well predicted by coefficients from small-scale experiments. Conversely, the level of sorption in field tests was observed at least 2.8 times greater than what was expected from small-scale experiments.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".