Using AMT in the new Zambian copperbelt (Enterprise and Kansanshi case study)
Bibliographic record
Abstract
During 2012 and 2013 FQML through its Zambian exploration team acquired about 300 line kilometres of Audio magneto telluric (AMT) survey for copper and nickel exploration in the north western Zambian copper belt. Kansanshi mine and the new $2bn Kalumbila (Enterprise Nickel deposit) development project are the survey locations (see Figure1). Hence this paper is a case study discussing major aspects of the projects including but not limited to major outcomes, difficulties encountered as well as solutions for futures data acquisition in similar geological settings. Stunning results were achieved whereby basement fault and many interesting geological features were identified (See Figure 2, Tm mode section along Line 19) over Enterprise and doming structures in Kansanshi (See figure 3).However limiting factors such as mine equipment noise, accessibility, swamps, tropical rain forest and wild life were some downside during the survey.
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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 | 0.001 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".