Passive Monitoring of Atmospheric Corrosives and Pollutants at Three CF Bases
Bibliographic record
Abstract
Abstract Atmospheric corrosion rates are recognized to depend on the deposition rates of corrosives, such as salt aerosols, and pollutants, such as sulfur dioxide, as well as the relative humidity. The corrosivity at three Canadian Forces bases (CFB Greenwood, CFB Kingston and CFB Esquimalt) was measured with CLIMAT coupons on a monthly basis. Even though these bases are at opposite ends of Canada, each had a maximum corrosivity in the winter and a minimum corrosivity in the summer. This trend was consistent with the average speed of winds that were associated with a relative humidity greater than 90%. The range of corrosivity near a de-iced road in CFB Kingston during the winter was from moderate marine to severe marine. The patina in the coupons exposed at CFB Kingston during the winter contained elements that could be associated with de-icing salts, such as chloride, as well as sulfur, which is associated with the air pollutant sulfur dioxide. The patina on the coupons exposed at CFB Greenwood during the summer contained sulfur and the patina on the coupons exposed at CFB Esquimalt during the summer contained chloride. Hence corrosion coupons can function as passive monitoring systems for pollutants as well as indicate corrosivity.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".