An investigation of air pollution in southern Ontario, Canada, with MODIS and MISR Aerosol Data
Bibliographic record
Abstract
On October 3-5, 2005 a smog advisory was issued for southern Ontario,Canada, due to high ground-level ozone and fine particulate matter (particles less than 2.5 microns in diameter - PM 2.5). Warm temperatures up to 28 C, high humidity and gentle winds contributed to a build-up of pollutants locally. In addition, southerly winds transported pollutants from the neighbouring United States northward into Canada. Data from the Moderate Resolution Imaging Spectroradiometer (MODIS) were obtained for four days - October 1st, 3rd, 4th, and 5th, 2005. The transport of high aerosol loadings northward across the Great Lakes is clearly evident on the images. We used linear regression analysis to investigate the relationship between MODIS aerosol optical depth (AOD) and ground-level PM2.5 during this period. The results suggest that a strong relationship is derived when meteorological variables are included in the regression model. An R2 value of 0.76 was obtained with MODIS AOD, average temperature, wind speed and relative humidity variables included as predictors of PM2.5.
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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".