Bibliographic record
Abstract
The fabrication of fiber lasers that emit in mid-infrared wavelengths (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2-20\ \upmu \mathrm{m}$</tex>) 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 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".