An assessment of hopanes in settled house dust as indicators of exposure to traffic-related air pollution in Windsor, Ontario
Bibliographic record
Abstract
Traffic-related air pollution (TRAP) has been linked with several adverse health effects.We investigated hopanes, markers of primary particle emissions from gasoline and diesel engines, in house dust as an alternative approach for assessing exposure to TRAP in Windsor, Ontario.Settled house dust was collected from the homes of 28 study participants (10 -13 yrs).The dust was then analyzed for a suite of hopanes by gas chromatographymass spectrometry.We calculated correlations between dust hopane concentrations and estimates of annual average NO2 concentrations derived from an existing LUR model.Hopanes were consistently present in detectable quantities in house dust.Annual average outdoor NO2 estimated was moderately correlated with hopanes in house dust (r = 0.46; p<0.05).The correlations did not vary by infiltration efficiency or the presence of an attached garage.Hopanes measured in settled house dust show promise as an indicator of long-term exposure to traffic-related air pollution.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".