Determining inter-zonal flow rates using passive sampling of tracer gases
Bibliographic record
Abstract
Whole-house and inter-zonal ventilation rates are important parameters to understand energy efficiency and indoor air quality. Under occupancy, passive sampling using thermal desorption (TD) tubes is more desirable due to its simple and less obtrusive nature. In this research, the uptake rates of six perfluoro-carbon tracer (PFT) gases were determined in a laboratory setting for 4 to 7-day passive sampling on two types of TD tubes. The sources of PFTs were manufactured and their stability were investigated for 4 months. The passive method was validated against the SF₆ decay method and applied to determine inter-zonal air flows in a research house. The air change rates measured with the passive release and sampling of PFT gases were comparable to those from the SF₆ method. This study shows that the passive uptake rates determined in a chamber and PFT sources manufactured in-house can be useful to measure the inter-zonal air flows in homes under occupancy.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".