The Effects of Geometry on the P-Wave Seismic Response of Massive Mineral Deposits
Bibliographic record
Abstract
Results from analogue seismic modelling aimed to investigate the effect that the geometry of a mineral deposit imposes on its seismic response are presented. 3D Seismic data were acquired on two physical models representing the possible end-member geometries of mineral deposits. The physical modelling involved acquisition of 3D pre-stack data on scale models. The results for the ellipsoidal model comprised closed, continuous, circular diffraction patterns in time slices. For the cylindrical model, the quality of the stack was degraded by the scattering caused by the rugged surface. The diffraction patterns were discontinuous and comprised the diagnostic concentric, circular amplitude peaks and troughs which would allow identification of drill targets in field data. The results show that 3D seismic data are valuable in mineral exploration because they provide (1) enhanced spatial resolution, and (2) slices of time help to identify the seismic response of small seismic targets with complex geometry.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".