Galvanic corrosion behavior of GaAs in acid solutions
Bibliographic record
Abstract
The galvanic corrosion behavior of both n-GaAs and p-GaAs coupled to Au, at room temperature, have been examined using the zero resistance ammeter technique (direct measurement), as well as the method of superposition of polarization curves (indirect measurement). Galvanic current densities, which can be converted to corrosion rates, were measured as a function of the cathode-to-anode (C /A) area ratio. In addition, corrosion rates were predicted from superposition of cathodic polarization curves for Au and anodic polarization curves for GaAs. With some exceptions, the current densities increased with increasing C/A ratio, and the agreement between the indirect and direct measurements was quite good. This indicates that the former can be used to determine semiconductor corrosion rates. Sample surfaces, examined using transmission electron microscopy, showed an As-rich surface layer, with a thickness dependent on dopant type and polarization potential.
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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) | 0.000 | 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 | 0.001 |
| 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".