High-bismuth-content phospho-silicate fiber for optical amplification
Bibliographic record
Abstract
We report a fiber fabrication process combining modified chemical vapor deposition and solution doping, which maximizes material retention to produce bismuth-doped fibers with high doping content. With a detectable amount of Bi at the 0.1 wt.% level, fabricated fibers exhibit low levels of background and unsaturable loss. Moreover, a flat and broad absorption profile is obtained and is attributed to a balanced level of phosphorus and silica-related bismuth active centers (BACs). Our photoluminescence results suggest excitation-dependent emission spectra, including broad luminescence under 808 and 980 nm pump wavelengths. The BPFs present a flat gain spectrum, free from OH-related absorption, reaching 34 dB peak gain with 100 nm bandwidth (>20 dB) and a noise figure (NF) in the range of 3.7 - 5.7 dB over the E- and S-band.
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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 | 0.001 |
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".