Aerosol Model Aids Interpretation of Corrosivity Measurements in a Tropical Region of Australia
Bibliographic record
Abstract
The corrosivity pattern near the tropical coastal city of Townsville, Australia is of interest because of concerns related to the corrosion of RAAF aircraft. The corrosivity at seven sites near Townsville was characterized over a four-year period with bimetallic specimens (CLIMAT units) and salt candles. The CLIMAT results highlight the effects of elevation above the ground and topography on local corrosivity. The increase in corrosivity due to elevation at the same site is readily explained by the increase in aerosol deposition. The flow pattern around objects that significantly obstruct wind is very complicated but one clear conclusion is that the wind flow speed and turbulence are highest near the top. Thus aerosol deposition, and therefore corrosion, rates are higher near the top of obstructions to wind such as hills and buildings. The main conclusion is that the principles of salt aerosol transport and deposition offer a physical framework for understanding and predicting patterns of aerosol deposition and consequently the patterns of 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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".