Geology, Norman Wells (southwest), Northwest Territories
Bibliographic record
Abstract
The southwest quadrant of Norman Wells map area (NTS 96-E) covers parts of the Franklin Mountains, Mackenzie Plain, and Mackenzie Mountains, Northwest Territories. The area varies from low-lying forested plain to alpine mountainous terrain, with bedrock exposures concentrated in the mountains on either side of the Mackenzie River. The geological interpretation in poorly exposed portions of the Mackenzie Plain has been enhanced by examination of public-domain seismic-reflection lines, archived with the National Energy Board. Cordilleran deformation from the southwest has uplifted Proterozoic and/or Paleozoic strata along reverse or thrust faults, and anticlinal folds in both the Mackenzie and Franklin mountains. The intervening Mackenzie Plain is dominated by folded and faulted Devonian and Cretaceous siliciclastic strata that have largely been planed off by glacial activity. The lack of surface exposure of Proterozoic strata in the Norman Range indicates this interval is not involved in Franklin Mountain structures, in contrast to the Mackenzie Mountains. An unconformity at the base of Upper Cretaceous strata cuts more deeply into underlying strata to the northeast, a reflection of uplift along the Keele Arch before deposition of the Slater River Formation. Exploration by petroleum companies in the area has typically targeted potential reservoirs in buried Devonian strata.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.052 | 0.008 |
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".