Optimization of temperature insensitive refractometer
Bibliographic record
Abstract
Experimentally, in the open-top ridge waveguides, the sensitivities of core and cladding resonances to the surrounding medium's refractive index are different while the temperature sensitivities are similar. Based on these characteristics, a temperature insensitive refractometer has been proposed. To increase the sensitivity of these devices, a theoretical model is developed to investigate the performance of some potential waveguide and Bragg grating structures. Relationships between the waveguide core size, refractive index distribution, tilt angle of the Bragg gratings as well as the relative evanescent sensitivity of the core and cladding modes are examined. As a result, we find that sensitivity can be enhanced by decreasing the waveguide core size, making the effective index of the waveguide close to the expected refractive index of the analyte, and incorporating tilt in the Bragg grating structures. Furthermore, the inclusion of tilt also appears to reduce the grating's birefringence for the waveguide structure examined.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".