Influence of a Nanoscale Gold Thin Layer on Ti/SnO<sub>2</sub>-Sb<sub>2</sub>O<sub>5</sub> Electrodes
Bibliographic record
Abstract
A nanoscale gold thin film and its influence on Ti/SnO 2 -Sb 2 O 5 coating have been investigated by scanning electron microscopy (SEM) and electrochemical methods such as cyclic voltammetry, electrochemical impedance spectroscopy (EIS), and the chronopotentiometric technique in both acidic and caustic solutions. The gold thin film was fabricated by sputtering, and its thickness was estimated using electrochemical methods. The nanoscale gold thin film on the titanium substrate exhibits electrochemical behavior similar to that of a polycrystalline Au electrode. Our study shows that the presence of a nanoscale Au thin film on the Ti substrate can effectively prevent the growth of a TiO 2 insulating layer between the substrate and the SnO 2 -Sb 2 O 5 coating, resulting either from the thermal procedure during the fabrication of the oxide electrodes or from the electrochemical process during the lifetime tests, thus greatly prolonging the service lifetime of the SnO 2 -Sb 2 O 5 electrodes. The failure mechanisms of the SnO 2 -Sb 2 O 5 electrodes have also been studied using the EIS and SEM techniques.
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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) | 0.001 | 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) | 0.001 | 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".