Successful Application of Electro-Magnetics in the Reid Brook Zone: Targeting Economic Needles in a Highly Conductive Haystack.
Bibliographic record
Abstract
Recent drilling in Voisey’s Bay has uncovered significant wallrock mineralization in what was before thought to be a sub-economic occurrence of sulphides within the Reid Brook Dyke. Although technically disseminated, the sulphides within the dyke are electrically well connected and can act as a single conductor of kilometres in size and with a conductance of thousands of Siemens. Using the standard transmitting frequency of the time, we were unable to discriminate the conductance of the disseminated from the massive sulphides. In 2003 we revisited the area with BHEM transmitting at 1Hz with more success. From the low frequency data, we saw evidence for the first time of conductive features that did not coincide with the dyke orientation.In 2004 we began to utilize the superposition of two data sets from two separate transmitting loops to adjust the angle of the inducing field and null couple to these in-dyke disseminated sulphides. In doing so, we obtained greater precision on the orientations of the conductors, and were able to discriminate between in-dyke conductivity, and wall rock related conductivity. We are now integrating this method with other structural techniques to further develop the deposit model.
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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 | 0.000 |
| 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) | 0.001 | 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".