GEM-Mackenzie: bedrock mapping and related stratigraphic studies, 2009-2019
Bibliographic record
Abstract
The Geo-mapping for Energy and Minerals (GEM) Program provided an opportunity to update the state of bedrock geological mapping for nearly 92,000 km2 of the northern mainland Northwest Territories, in a swath extending from the Colville Hills and Great Bear Plain, westward to the eastern and northern Mackenzie Mountains. Mapping focused initially on the region around the long-producing Norman Wells oil field, and subsequently extended north to the Colville Hills, a region of known oil and gas potential, and west into the Mackenzie Mountains, an area with numerous mineral showings. The result will be 24 new bedrock geology maps at 1:100 000 or 1:250 000 scales, published in GIS-enabled format as Canadian Geoscience Maps (CGMs). The mapping effort made extensive use of archival GSC data, notably those preserved following Operation Norman (1968-1970), as well as public-domain industry data. Maps incorporate numerous stratigraphic revisions that post-date the Operation Norman era, including innovations from the GEM program that affect a number of Tonian, Ediacaran, Cambrian, and Ordovician units. The present report is an overview of the mapping efforts, including summaries of stratigraphic revisions, as well as a preliminary treatment of the structural geology of the study area. Also included is a brief summary of subsurface studies. Following the conclusion of the GEM program, modern, GIS-enabled bedrock maps will be available for a swath of territory extending from the edge of the Selwyn Basin, near the Yukon border, to the Brock Inlier in the northeastern mainland Northwest Territories.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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 teacher head, 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".