Influence of Nitrate and Chloride Ions on the Corrosion of Iron
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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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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 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".