El georrádar como técnica de diagnóstico de presas mineras abandonadas. El distrito de Linares (Jaén, España)
Bibliographic record
Abstract
In Linares (Jaen), there is a history of a large amount of mining activity associated to a vein network of metallic sulphurs. These ancient mining operations have generated large accumulations of mine wastes without any prior corrective action. In this work, two mining impoundments have been selected (La Canada I y La Mejor 1a-2a). The internal characterization of these structures was performed with electromagnetic sensing techniques, specifically with Ground Penetrating Radar (GPR), using antennas of 100 and 250 MHz. The generated profiles have allowed the identification of the internal morphology of the mining dams: cross stratifications associated to the lateral growth of the dams have been observed, as well as several vertical sets corresponding to different stages in the historical development of the dam. In addition, the contact of the mining wastes with the substratum has been detected in the dam with lower thickness (2 m).
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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; both teacher heads agree on what is shown here.
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".