Application of Controlled Source Audio-Magnetotelluric Method in Looking for Hidden and Deep Mines
Bibliographic record
Abstract
The controlled Source Audio-magnetotelluric method (CSAMT) is an artificial source in frequency domain sounding method based on MT and AMT.For the advantages of medium-depth exploration,high resolution,and anti-interference ability,it becomes an effective way to metal ore exploration.First,we analyzes the basic geography,geological and geophysical characteristics of the target area (Erlian copper) and has concluded that the deep copper zone has a high-polarization and low resistance characteristic,which provides the premise conditions in looking for deep and hidden mines through CSAMT method.And then we describe the principles and working methods of CSAMT,the data acquisition instrument V8 produced by Phoenix company from Canada is the next-generation network-based multifunctional electrical product.Through the data processing and anomaly analysis,we get the abnormal regions.The result indicates that the method successfully explains the location,depth,and range of the deep ore-rich region,which is verified by drillings.This result provide a good basis for the secondary development of the Erlian copper.the CSAMT method successfully reflects validity in looking for deep and hiden mines.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".