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 building materials used in the construction of the CCHT (Canadian Centre for Housing Technology) "Reference" house were collected and subjected to chamber testing. VOC emission rates were modeled from the results and entered into MEDB-IAQ. A simulation of the house construction and subsequent operation for an additional nine months was then run with the software 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 and analyzed by GC/MS. Prediction accuracy depended on source complexity, source identification and emitting area, and on sink effects. Trends in relative contributions of individual materials could be readily identified.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 teacher head, 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".