Field Exposure Results on Trends in Atmospheric Corrosion and Pollution
Bibliographic record
Abstract
The International Co-operative Programme on Effects on Materials including Historic and Cultural Monuments (ICP Materials) is an extensive field exposure programme within the United Nations Economic Commission for Europe (UN ECE). In its network of test sites, which presently includes 30 test sites in 14 European countries and in Israel, the United States and Canada, several one-year exposures of unalloyed carbon steel, zinc, copper, cast bronze, limestone and steel panel with alkyd paint have been performed during the period 1987–97. The present work summarizes and analyses the one-year exposures for trend effects in Europe and, in particular, quantifies the part of the trend attributable to changes in sulfur dioxide concentration. SO2 is the largest single contributing factor to the decreasing corrosion trends. The decreasing H+ in precipitation is also a contributing factor, its effect is, however, much smaller than that of dry deposition. In addition to the ICP Materials results, long term trend examples of zinc and carbon steel corrosion and SO2 concentration for the period 1946–1997 are shown for Stockholm, Moscow, Prague and Kopisty.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.006 | 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".