Developing relationships between diffusive uptake rate and chemical properties for VOC sampling
Bibliographic record
Abstract
Diffusive sampling of volatile organic compounds (VOCs) on thermal desorption (TD) tubes is a useful technique to determine VOC levels in occupied homes due to its simplicity. Diffusive uptake rate (UR) is critical information for passive sampling. Relationships between UR and chemical properties were determined in a chamber (31 m³) with 52 VOCs. TD tubes tested included Carbopack B (CB), Tenax TA (TX) or Carbograph 5TD (CG5) for 4 to 8-day sampling. The results showed that the UR for TX had a positive relationship with boiling point for both polar and non-polar compounds. Diffusion coefficient (Da) was a better predictor of UR for CB and CG5. Interestingly, the UR of non-polar compounds showed a positive relationship with Da, while the opposite was observed for polar compounds on CB. The relationships determined in this study are expected to be useful in understating the levels of VOCs with no measured UR.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".