Chemical and Physical Characteristics of Wood Smoke in the Northeastern US during July 2002 Impacts from
Bibliographic record
Abstract
During early July 2002, dense smoke from a number of large forest fires in central Quebec Province was transported south by prevailing winds into the New England and Mid-Atlantic states. Given the high concentrations of smoke, strong flows from the north, and relative absence of other emissions in that direction, this event provides a unique opportunity to evaluate impacts of nearly pure wood smoke at multiple monitoring sites in the Northeast. Continuous measurements of PM2.5 mass from State and Federal monitoring programs and light scattering from (a few) IMPROVE nephelometers and (many) ASOS forward scatter meters reveal highly complex spatial and temporal patterns of smoke impacts at the surface on July 6-8, 2002. Maximum observed 24-hour smoke impacts at most US surface sites occurred on July 7th, which was coincidently a routine filter sampling day for the IMPROVE, STN and FRM (fine mass-only) networks. Combining the continuous PM, light scattering and filter-based chemical data provides insights into the chemical and physical features of the smoke during this “event of opportunity”.
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 | 0.001 |
| 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) | 0.001 | 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".