Review—Electrochemical Probes and Sensors Designed for Time-Dependent Atmospheric Corrosion Monitoring: Fundamentals, Progress, and Challenges
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Electrochemical probes and sensors have been developed to detect and monitor atmospheric corrosion of metallic materials in the past 40 decades. Depending on the measurement methods, the electrodes and structures of probes and sensors can be different. Various mathematical methods and models have been developed to determine the time-dependent corrosion rate of metal under thin electrolyte film. Polarization techniques such as electrochemical impedance spectroscopy (EIS) and linear polarization resistance (LRP) have the advantage of easy data interpretation but have a tendency to interfere with the corrosion system under investigation. Nonpolarized techniques such as electrochemical noise (EN) do not disturb the corrosion system but data interpretation can be problematic. To achieve long term and reliable corrosion monitoring, optimized electrode design and a multichannel electrochemical instrument are required. New corrosion models and novel data interpretation methods are needed in future work.
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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 | 0.001 | 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