Bibliographic record
Abstract
Ambient VOC concentrations measured at Windsor West Station from 2001 to 2009 were used for a VOC source apportionment study using Chemical Mass Balance model. The ranking of source contribution estimates was: "Vehicle Emission", "Commercial Natural Gas", "Industrial Refinery", "Liquefied Petroleum", "Coke Oven", "Architectural Coating", and "Biogenic Emission". From 2003 to 2009, PAMS measurements in Windsor decreased by approximately 37%. Source contribution reduction of "Vehicle Emission" accounted for 57.6% of total source contribution reduction. Source contribution reduction percentages of "Vehicle Emission", "Architectural Coating", and "Biogenic Emission" were above PAMS reduction percentage; however, source contribution reduction percentages of "Commercial Natural Gas", "Industrial Refinery", "Coke Oven", and "Liquefied Petroleum" were below it. From 2001 to 2009, a seasonal pattern of PAMS measurements with low level in winter and spring but high in summer and fall was observed in some years. A similar seasonal pattern of "Vehicle Emission" source contributions was also obeserved in most years.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".