Factors influencing volatile organic compounds in Canadian homes
Bibliographic record
Abstract
Volatile organic compounds, several of which may impact health, have many possible indoor sources. To further investigate this, we tested the association between indoor concentrations of 47 passively collected volatile organic compounds and both home characteristics and occupant behaviours in a Canadian population-based sample of 3454 participants. Homes with smokers were excluded from analysis. Homes with a door connecting to an attached garage had greater concentrations of hexanal, benzaldehyde, all the measured alkyl benzenes and ketones, most of the simple hydrocarbons and terpenes. Major home renovations within the past month were associated with higher concentrations of most or all of the volatile organic compounds in the categories of alcohols, alkyl benzenes, ketones, simple hydrocarbons and terpenes. Using paints and stains within the past week were associated with an increase in concentrations of the majority of alcohols, alkyl benzenes and simple hydrocarbons. Several building characteristics and occupant’s behaviours appear to increase exposure to volatile organic compounds. Modification of these factors is generally under the control of the occupant(s), suggesting that education could result in reduced indoor volatile organic compound exposure in the Canadian population.
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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) | 0.003 | 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".