Rectifying characteristics of Te-doped GaAs nanowires
Bibliographic record
Abstract
We report on the electrical properties of Te-doped GaAs nanowires (NW) grown via the vapor-liquid-solid mechanism. Gold nanoparticles were used as growth catalysts and contacts for electrical measurements using a nanoprobe technique. Semi-log I-V curves show 6-8 decades of forward-voltage linearity giving an ideality factor of 1.25 ± 0.06 and barrier height of 0.78 ± 0.04 eV. When normalized to NW cross-sectional area, all curves overlapped consistent with an n-type carrier concentration (9 ± 1) × 1017 cm−3 and a constant NW resistivity (2.5 ± 0.5) × 10−3 Ω cm. Raman spectroscopy indicated a small surface depletion width of less than 5 nm.
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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 | 0.000 | 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".