Geophysical contributions to a synthesis of western Churchill geology and metallogeny, Northwest Territories, Nunavut, and Saskatchewan
Bibliographic record
Abstract
The geophysical data sets available for the western Churchill Province have had a bearing on the understanding of its structure, evolution, and metal endowment. New data were acquired and interpreted during the Geo-mapping for Energy and Minerals (GEM) program (2008-2020). Regional, high-resolution aeromagnetic, and targeted gravity and magnetotelluric surveys were collected in GEM, in conjunction with geological mapping projects, in order to provide control on bedrock features beneath widespread glacial overburden and flat-lying sedimentary basins. Quantitative estimates of three-dimensional geometry were obtained in key areas through geophysical models, integrating the geophysical characteristics with local rock-property measurements. These geophysical data sets contributed to new knowledge and interpretations in three related research fields: location and nature of Rae Craton's boundaries within the western Churchill Province; definition of internal Rae architecture; and identification of reactivated structures controlling gold and uranium mineralization. The new data, models, and emerging tectonic and metallogenic frameworks will serve as guides for future exploration in this remote, complex, challenging region.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.009 | 0.023 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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".