Observation of Single Tin Dioxide Nanoribbons by Confocal Raman Microspectroscopy
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Confocal Raman microspectroscopy combined with scanning electron microscopy (SEM) was used to characterize morphologies, chemical structures, and optical properties of single tin dioxide nanoribbons under ambient conditions. Raman images, depth profiles, and spectra of the ribbons were analyzed to provide new insights into the structure−property relationship. The Raman images constructed from the normal Raman bands and an additional group of energy bands with very high intensities between 1000 and 1800 cm -1 clearly discriminated the nanoribbons from the luminescent nanostructures grown on ribbon surfaces. The strong luminescent nanostructures have a stoichiometry of SnO x (1 < x < 2), as assessed by energy-dispersive X-ray (EDX) spectroscopy and Raman peaks between 100 and 300 cm -1 . The emission can be attributed to the defect state resonant and exciton−phonon coupling luminescence.
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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".