Robust extraction of rectangular waveguide surrogate models of wave propagation in tunnels
Why this work is in the frame
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Bibliographic record
Abstract
Before the development of modern computational techniques, wave propagation in tunnel and mine environments was analytically modeled by drawing an analogy between such environments and standard, over-moded electromagnetic waveguides. While this analogy is physically intuitive and insightful, an open question is whether standard waveguides can serve as proper surrogate models of general tunnel environments, especially when the cross-section of the latter is arched and if so, what are their corresponding dimensions. Such models can lead to analytical, rapid propagation prediction over very long distances. We present a systematic approach to derive rectangular waveguide surrogate models for general tunnel geometries and demonstrate its accuracy and efficiency in practical cases of road and subway tunnels.
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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 | 0.001 |
| 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 it