Bibliographic record
Abstract
The fabrication of fiber lasers that emit in mid-infrared wavelengths ($2-20\ \upmu \mathrm{m}$) require fiber-based building blocks compatible with this spectral range. Such fiber components include the optical fiber itself that must be transparent to the mid-infrared, also power combiners/dividers, wavelength division multiplexers/demultiplexers, polarization-dependent couplers, gain media, etc. This presentation highlights the recent progresses of the Nonlinear Photonics Group at McGill University, with an emphasis on all-fiber components that have been built from chalcogenide and fluoride fibers. These glasses have been specifically chosen for their optical properties such as transparency in the mid-infrared, high nonlinearity, and tolerance to high optical intensities. From those glasses, components and sources such as the first single mode optical fiber couplers (power dividers, wavelength-dependent, polarization dependent) as well as all soft-glass fiber sources (optical parametric oscillator, Brillouin laser) have become accessible and will be presented.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.061 | 0.044 |
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".