Corrosivity Patterns Near Sources of Salt Aerosols
Bibliographic record
Abstract
Corrosivity patterns near a de-iced highway and a salt-water body were studied with wire-on-bolt coupons and simulations of the airflow. De-iced highways in the winter produce zones where the corrosivity is as high as that near a salt-water body and extend beyond 150 m from the road edge. In a study of the effects of wind sheltering, there was a 34-fold difference in corrosivity between the most wind-protected and the least wind-protected site even though each set was exposed to the same relative humidity. This is consistent with the concept that atmospheric corrosion rates in marineequivalent environments depend primarily on salt aerosol deposition rates, which in turn depend on local wind velocity and turbulence patterns. At the salt-water body site, there was a seasonal trend to the corrosivity with a three-fold difference between the maximum in December and the minimum in July. The seasonal trend in corrosivity correlated with the seasonal trend in the monthly average relative humidity. The corrosivity pattern around two buildings near the salt-water body was quite non-uniform due to differences in wind speeds.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.072 | 0.003 |
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; both teacher heads agree on what is shown here.
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".