Delineation of VMS deposits in the Bathurst Mining Camp, NB, based on lineament analysis and joint interpretation of 3D FTG and magnetic data inversion
Bibliographic record
Abstract
The Bathurst Mining Camp (BMC) in New Brunswick is one of Canada’s oldest mining areas for volcanogenic massive sulfide (VMS) deposits producing 30% of Canada’s Zn, 53% of its Pb and 17% of its Ag. The area underwent extensive geophysical surveying in the 1990s and early 2000’s, that included both airborne full tensor gravity gradiometry (FTG) and magnetics. However, and despite numerous studies using these data sets being performed, many uncertainties on the nature of VMS distribution, geometries and dimensions remain. The complex tectonic development of the area adds to the challenge requiring a revisit to the older geophysical datasets using current best practices. This paper describes a reworking of the FTG and magnetic data to map detailed lineament patterns followed by joint interpretation of an inversion over known VMS deposits. The results lead to an increased understanding of the structural characteristics of the BMC and delineation of VMS deposits.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".