Comparison of Polysiloxane Two-Coat Systems vs. a Traditional Three Coat System as External Paint Systems over Steel for Canadian Applications
Bibliographic record
Abstract
Abstract A laboratory study was conducted to examine the potential impact of replacing a three-coat paint system with proposed polysiloxane two-coat alternatives. All three systems use a zinc-rich epoxy primer. The three-coat system has an intermediate epoxy coat and an aliphatic polyurethane topcoat. The two-coat systems use polysiloxane chemistry based topcoats that are applied directly to the primer in one coat. One of the two-coat systems was from the same manufacturer as the three-coat system. All three coatings were applied by the same applicator under controlled and supervised conditions. Tests examined physical properties, adhesion and weathering characteristics. Although there were some minor differences in the performance of the coating systems, the study indicates that replacement of the currently used three-coat system with the tested two-coat systems would not result in significant reduction in coating performance or expected service life. Tests examining extra demands made on coatings exposed to the cold environments of Canada showed a noticeable but similar reduction in the flexibility and impact resistance characteristics of all the coatings when tested at -30°C versus at room temperature and 0°C.
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".