RESOLVING THE AERO ELECTROMAGNETIC (AEM) AND AEROMAGNETIC SIGNATURE OF THE BRUNSWICK NO 12 SULPHIDE DEPOSIT FROM ADJACENT FORMATIONAL ANOMALIES
Bibliographic record
Abstract
The Bathurst Mining Camp (BMC), Canada, hosts 46 volcanogenic-sedimentary massive sulphide deposits (VHMS), including the world-class Brunswick No. 12 deposit. The magnetic signature of this deposit is masked by the magnetic response of a nearby basaltic formation. A reliable 3D model may contribute significantly to a better understanding of the nature of the Brunswick No. 12 deposit at depth and provide an important vector for exploration. Locally abundant pyrrhotite in the deposit generates a strong magnetic anomaly. 3D modeling of the magnetic data using the geological and drill hole data available in the literature as constraints produced a model that could be compared with previously established geological models. This comparison pointed to a very good correlation of the vertical behavior of the 3D model with a previously derived geological section. Although continuous at depth, the model displays differences between the northern and southern portions of the upper region of the body. This “bifurcate” aspect is consistent with the presence of two magnetic anomalies associated with the deposit. Independent geological interpretations of the sulphide body indicate a greater discontinuity of the body in the E-W direction compared to N-S discontinuities in the magnetic model. The magnetic model was then compared with the deposit aero electromagnetic (AEM) signature, which also indicated a bifurcation between the northern and southern portions. The correlation of the interpretation of two geophysical methods based on very different physical properties helps to confirm the reliability of the 3D model obtained. The results of this study contribute to a better characterization of the geophysical signatures associated with the Brunswick No. 12 deposit and help understanding its petrophysical composition. The geophysical characteristics provide a benchmark for comparison with other (partially) masked anomalies in BMC area or elsewhere.
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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 | 0.000 |
| 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 | 0.001 | 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".