Effect of Fe(III) and Cu(II) on the Passivation of Ti-2 in Acidic Chloride Solutions
Bibliographic record
Abstract
The passivation of Ti-2 by Fe(III) and Cu(II) species in acidic chloride solutions was investigated by electrochemical techniques. It was found that the critical concentrations of Fe (III) and Cu(II) species required to induce passivation of Ti-2 increased from 1.0 ± 0 to 6.0 ± 0 mM and from 0.25 ± 0 to 1.15 ± 0.23 mM, respectively, when the temperature was increased from 30°C to 80°C. The mechanism associated with the passivation was the acceleration of the cathodic reactions due to the introduction of oxidants for Ti-2. Cu(II) was more effective than Fe(III) at inducing the passivation of Ti-2 for the conditions investigated here.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".