Photoluminescence Study of an Er-Doped Si-Rich SiO[sub x] Film
Bibliographic record
Abstract
We have studied photoluminescence (PL) from samples of Er-doped Si-rich silicon oxide (SRSO) annealed at for in , (FG1), (FG2), and , respectively, or subjected to double-step annealing processes. For the given film composition, the PL spectra of the samples annealed in , FG1, or FG2 are similar in shape but reveal small differences in the intensities of emission bands; while the spectra are qualitatively different in the case of oxidation. By combining the treatments of oxidation and annealing in FG1, the PL intensity of the SRSO matrix increases significantly; the emission from Si nanoclusters (Si-ncls) is also enhanced while the PL remains efficient. The effects of annealing gas ambients are discussed in terms of hydrogen passivation, Si oxynitridation and/or oxidation occurring in the film upon annealing and play different roles in the PL.
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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 | 0.000 |
| 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) | 0.001 | 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".