Prediction of VOC concentration profiles in a newly constructed house using small chamber data and an IAQ simulation program
Bibliographic record
Abstract
The ability of the Material Emission Database and Indoor Air Quality simulation program('MEDB-IAQ') to use small chamber test results to model volatile organic compound (VOC)profiles in a newly constructed 2-storey single family home was evaluated. Selected buildingmaterials used in the construction of the CCHT (Canadian Centre for Housing Technology)'Reference' house were collected and subjected to chamber testing. VOC emission rateswere modeled from the results and entered into MEDB-IAQ. A simulation of the houseconstruction and subsequent operation for an additional nine months was then run with thesoftware package. Air exchange rate data from the house was also used as model input.Predicted VOC results were then compared with air samples taken from the house andanalyzed by GC/MS. Prediction accuracy depended on source complexity, sourceidentification and emitting area, and on sink effects. Trends in relative contributions ofindividual materials could be readily identified.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.001 | 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".