In-Mine Geophysics – Cutting costs and finding ore
Bibliographic record
Abstract
After a number of years of development and implementation Inco has a vigorous mines geophysics program in place at our sulphide nickel operations in Canada. This involves geophysical support in exploration, delineation and production. The work in these areas is mutually reinforcing with a common set of physical properties being exploited at a wide variety of scales. The exploration work continues to generate new ore zones in an established but prolific camp and the production related work has resulted in ongoing savings and more efficient mining operations.We review a number of the main applications including blasthole surveying, televiewers, crosshole seismic tomography, pulsed neutron borehole probes, and BHEM. These programs and a number of other initiatives have been technically successful and are invarious stages of implementation. Overall our mines geophysics work has been a very successful with significant new in-mine discoveries and savings in production. We believe that this is still an underdeveloped area with many more opportunities for geophysical imaging of ore at multiple scales
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.006 |
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".