The Influence of Oxidizing Agent in the Chemical Deposition of Polypyrrole on Lead Alloy Surface
Bibliographic record
Abstract
Polypyrrole (PPy) layers were deposited on lead metallic surface using hydrogen peroxide or benzoyl peroxide as oxidizing agent associated with different types of dopants: phosphoric acid, stearic acid and dodecylbenzene sulfonic acid. Lead alloy was chosen because of its importance in energy industrial application and also because its primary source of extraction is running out, there is an increasingly urgent need to extend its life cycle. For the in situ chemical deposition of PPy, it was considered the combination of only one oxidizing agent and one dopant, being the experiment performed with the combination of these reagents. The morphology and corrosion protection effectiveness of the PPy layer was studied by Scanning Electron Microscope (SEM), Open Circuit Potential (OCP) and Potentiodynamic Polarization. The experimental results demonstrate that PPy layer was effectively formed as a coating layer and Hydrogen Peroxide performed better and consistent protection efficiency when compared to Benzoyl Peroxide.
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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 | 0.013 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".