Application of multi-axis differential optical absorption spectroscopy (MAX-DOAS) to Canadian rural and urban sites
Bibliographic record
Abstract
A novel technique: Multi-axis differential optical absorption spectroscopy (MAX-DOAS) was used for the first time in urban Canada to gain information on the vertical and spatial distribution of airborne pollutant species. Spectra at several elevation angles were collected at six different sites over the time period August 2005--August 2006 and resolved into differential slant column densities (DSCDs) using the DOAS technique. DSCDs of NO2, O3, HCHO and O4 were analyzed as a function of location, time of day, elevation angle and azimuth using average DSCD values. Correlations were found between daily DSCD averages and independent measurements of the same species. Mixing height information was elicited via radiative transfer modeling for two days, one in an urban environment and the other in a rural environment. The results demonstrate that MAX-DOAS can be used as a low-cost, automated tool to obtain useful information on pollutant variability in multiple dimensions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 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".