Measurement of nitrogen dioxide and sulfur dioxide by satellite and passive monitors in Northeastern British Columbia, Canada.
Bibliographic record
Abstract
The Peace River district of Northeastern British Columbia (B.C.) Canada is a region of natural gas production that has undergone rapid development since 2005. Both satellite data products and Willems badge passive sampler measurements of nitrogen dioxide (NO₂) and sulfur dioxide (SO₂) were used to assess the air quality implications from gas development activities. Both satellite data products between 2005 and 2013 and Willems badge passive samplers during six two-week exposure periods between August and November, 2013 have been considered in this study. All satellite data products and passive monitoring of these two pollutants in Northeastern B.C. found higher values in Taylor, Fort St. John, and Dawson Creek. This spatial distribution of higher values has resulted from the large gas development activities in these areas. The temporal analysis of satellite NO₂ data revealed higher values near Dawson Creek after 2007 with annual increment of 1.7%. It was also found that Taylor is half as polluted as one of the Canada's largest non-urban SO₂ emission source areas (Canadian oil sands areas in Alberta). --Leaf ii.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".