Edmonton Indoor Air Quality Study (EIAQS): Determinants of Residential Benzene
Bibliographic record
Abstract
Inhalation of benzene is associated with increased risk of leukemia. Edmonton Indoor Air Quality Study (EIAQS) investigated what factors were related to higher or lower levels of benzene in Edmonton homes. Factors examined were: season (winter, summer), environment (indoor, outdoor), traffic volume, proximity to downtown, socioeconomic status, garage type, number of occupants, and air exchange rate/age strata. Neighborhoods were age stratified and ten dwellings were randomly sampled from each stratum. Fifty dwellings were sampled with SUMMA™ canisters for 7 consecutive 24-hour periods in winter and summer of 2010. Benzene samples were analyzed by GC/MS. Data on daily activity patterns and house characteristics were collected using questionnaires and analyzed using SAS v9.2. A stepwise selection regression model predicted that 28% of the indoor benzene variability can be explained by season and presence of attached garage with connecting door as significant predictors (p<0.05).
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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 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".