Dispersion inversion of electromagnetic pulse propagation within freezing and thawing soil waveguides
Why this work is in the frame
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Bibliographic record
Abstract
Freeze and thaw processes are important components in characterizing glacial, periglacial and frozen ground environments, and hence the response of cryospheric regions to climate change. High‐frequency ground‐penetrating radar is particularly well suited for monitoring the freezing and thawing processes within the shallow subsurface (i.e., < 1 m depth) due to its non‐invasive nature and its sensitivity to the liquid water component in soil. The freezing of moist soil and thawing of frozen soil induce leaky and low‐velocity waveguides, respectively. Within these waveguide layers, the internally reflected radar energy produces interfering multiples that appear as a package of dispersed waves. Here, we present a new method for characterizing very shallow freeze and thaw processes, in which the waveguide properties are obtained by inverting the observed dispersion curves. This new method can non‐invasively monitor freezing and thawing processes in a wide range of glacial, periglacial and frozen ground studies.
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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 | 0.000 |
| 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 it