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Record W946030600 · doi:10.1520/stp13553s

Aerosol Model Aids Interpretation of Corrosivity Measurements in a Tropical Region of Australia

2000· book-chapter· en· W946030600 on OpenAlexaff
Robert D. Klassen, B. Hinton, P.R. Roberge

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicMarine and Offshore Engineering Studies
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsAerosolInterpretation (philosophy)MeteorologyClimatologyEnvironmental scienceAtmospheric sciencesGeographyGeologyComputer science

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.045
GPT teacher head0.239
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2000
Admission routes1
Has abstractyes

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