5. Inversion for Applied Geophysics: A Tutorial
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Introduction Throughout this book there are numerous cases where geophysics has been used to help solve practical environmental, geotechnical, and exploration problems. The typical scenario is first to identify the physical property that is diagnostic of the sought geologic structure or buried object, for example, density, seismic velocity, electrical conductivity, or magnetic susceptibility. The appropriate geophysical survey is then designed and field data are acquired and plotted. In some cases the information needed to solve the problem may be obtained directly from these plots, but in most cases more information about the subsurface is required. As an example, consider the magnetic field anomaly map presented in Figure 2. The existence of a buried object, and also approximate horizontal locations, can be inferred directly from that image. The map, however, presents no information about the depth of the object or details regarding its shape. To obtain that information the data need to be inverted to generate a 3D subsurface distribution of the magnetic material.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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