FUNDAMENTAL AND INDUCED BIASES IN TECHNOLOGICAL CHANGE IN CENTRAL CANADIAN AGRICULTURE / доклад на 25 конференции IAAE, Reshaping Agriculture’s Contribution to Society, International Convention Centre, Durban, South Africa, 16-23 August 2003
Bibliographic record
Abstract
We present measurements of enhanced Raman scattering in silicon slow-light photonic crystal waveguides. By utilizing both the Bragg gap edge dispersion of TM-like modes for pump enhancement and the TE-like fundamental mode onset for Stokes enhancement, a six-fold increase in the spontaneous Raman scattering was observed in the double slow-light regime. Both forward and backward Stokes signals are examined, with continuous-wave measurements, in our low-loss photonic crystal membranes. The measured nonlinear enhancement matches well with our numerical model and simulations, and are described in detail in this paper. These observations support the development of chip-scale frequency conversion and optical amplification in silicon nanophotonics.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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".