Evaluation of Corrosion Inhibiting Systems Used in
Bibliographic record
Abstract
this document is published in / Une version de ce document se trouve dans 202 nd Meeting of the Electrochemical Society, Salt Lake City, Utah, Oct. 20-25, 2002, p. 1 www.nrc.ca/irc/ircpubs Evaluation of Corrosion Inhibiting Systems Used in Reinforced Concrete Shiyuan Qian Institute for Research in Construction National Research Council Canada Ottawa, Ontario, Canada K1A 0R6 Corrosion of reinforcing steel bars in concrete is a serious and significant problem. It costs tens of billions of dollars for repairing the corrosion-induced damage on bridges alone in USA (1). Corrosion inhibitors have been considered as one of the most cost-effective solutions to the reinforcement corrosion in concrete. They have been increasingly used as concrete admixtures for new structures and restorative applications for repairing existing reinforced concrete during the last fifteen years
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".