On-line corrosion and corrosion-wear monitoring using a modified electrochemical noise technique
Why this work is in the frame
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Bibliographic record
Abstract
In this study, a modified electrochemical noise (EN) technique was used to monitor uniform corrosion and pitting corrosion. In the EN technique, one working electrode is coupled to a microelectrode (e.g. Pt) through a zero resistance ammeter to sense current noise. Results show that the EN technique with a properly selected microelectrode appears to be able to distinguish different corrosion processes like uniform corrosion on mild carbon steel and pitting corrosion on stainless steel. Furthermore, this EN technique was successfully implemented in on-line corrosion-wear monitoring of stainless steel. In addition, the modified EN technique can sensitively detect the interface of nitrogen ion implanted layer and the stainless steel substrate, thus determining the thickness of the implanted layer.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 it