Influence of Nitrate and Chloride Ions on the Corrosion of Iron
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
The effect of nitrate on the general corrosion and pitting corrosion of iron was investigated in sulfate-based solutions with different pH values. Nitrate greatly accelerates the general corrosion of iron in acidic solutions, but has slight influence on the general corrosion in neutral solutions. The pitting inhibition of nitrate is dependent on the pH value of solutions, and nitrate is able to prevent the passivated iron surface from pitting attack only in acidic solutions. This pitting inhibition effect is probably associated with the competition between the passivating action of nitrate and depassivating action of chloride at passivated iron surfaces. The current oscillation characteristics for the iron in pure sulfuric acid (H2SO4) solution and in H2SO4 + NaNO3 + NaCl (sulfuric acid + sodium nitrate + sodium chloride) mixed solution were compared, and the relations between the oscillatory behavior and pitting susceptibility of iron were interpreted.
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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