Interpretation of Regional Geophysical Data Acquired at the Bathurst Mining Camp, Canada
Bibliographic record
Abstract
The Bathurst Mining Camp is a major base-metal mining district in New Brunswick, Canada that was a focus area for the Geological Survey of Canada Targeted Geoscience Initiative Phase 3 project. As part of this project, more than 3500 gravimetric observations were acquired in the Bathurst Mining Camp, with an average spacing of 1-2 km, in 2006. The gravimetric data was reduced for an average crustal density value of 2.77 g/cm3 to obtain the Bouguer anomaly, which was analyzed and used to obtain 2.5D gravity models along five transects crossing the Bathurst Mining Camp. As a result of gravity modeling, a model of the general geometry of the main geological groups of the Bathurst Mining Camp (Fournier, California Lake, Tetagouche, and Miramichi) was obtained, which suggests that the Nine Mile Syncline is an open fold, and the Tetagouche Anticline is a gentle fold. Both folds are non-cylindrical and inclined, with their axial planes dipping in the 293° N direction: the angle of vergence of the folds increases towards the northeast of their axes. The structures under the Tetagouche Anticline axis gradually get deeper towards the Northeast reaching a maximum depth of 4 km. The depth of the structures modeled under the axis of the Nine Mile Syncline varies between 2 and 9 km, the deepest part being towards the center of the Bathurst Mining Camp; towards the northeast of its axis, the structures reach an intermediate depth of 4 km while towards the southwest they are 2 km deep on average.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".