Analysis of Radar Interferometry Results on the Deposit Territory
Bibliographic record
Abstract
For effective and safe development of mining deposits, it is necessary to study the impact of natural and anthropogenic factors on the development of deformation processes, which provides an opportunity to regulate their impact on the rock mass, earth surface and engineering structures. The size of the deposit, geology and production volumes, affects the area of deformation, which can spread over huge areas. Accordingly, regional deformation monitoring is required for such fields. In order to provide high detail coverage of the area, traditional ground-based methods are impractical and costly. More timely and cost-effective for monitoring deformation of large territories is the use of differential radar interferometry. The results of high-precision geodetic measurements for the period 2019-2021 revealed that more observation points have significant negative values. This indicates a stable process of subsidence of the earth, predominantly. Analysis and interpretation of the obtained results of geodynamic monitoring (high-precision leveling, radar interferometry), allowed to determine that the condition for the formation of vertical and horizontal deformations of the earth's surface is a natural-technogenic factor.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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".