Review of Corrosion Control Programs and Research Activities for Army Vehicles Land Sustain (12S) Thrust Advisory Group Scoping Study
Bibliographic record
Abstract
The purpose of this report was to provide a critical review of recent developments in corrosion prevention programs for U.S. Army vehicles and to identify related issues from a Canadian perspective. It was prompted by awareness of the rising costs of applying a corrosion preventive compound (CPC) to Canadian Army vehicles. The review was mostly based on the presentations at the latest U.S. Tri-Service Corrosion Conference (November 2005) and the U.S. Army Corrosion Summit (February 2006), which include the recent development of U.S. Army corrosion program and research activities on new coating materials and application techniques, testing coating techniques, corrosion preventive compounds, and corrosion sensors. A comprehensive corrosion control program was also recommended in the report to better mitigate the corrosion cost and to improve the readiness and availability, and to increase the service life of the Canadian Army vehicles.
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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 | 0.008 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".