Seismic Parameters of Impactites from Physical Property Variations - Results from Bosumtwi Borehole Logs
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Bibliographic record
Abstract
Introduction: Physical property logs provide an important ground-truthing tool in the analysis of geophysical data. For impact studies, the statistical properties of these data series can provide an important link between structures in different parts of the world, characterized by different lithologies, morphologies, or target rock types. These properties serve to answer the question of exactly how heterogeneous or homogeneous the different impact sequences are, in particular for the footwall structures relative to impactite layers. To describe small scale heterogeneity in the various sections of the Bosumtwi crater we used the approach first described by Goff and Jordan [4], which approximates the covariance of the stochastic variations in physical properties by a von Karman function in 1-D:
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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