A GIS dataset of geological features for the Chinkeh Creek map area (95 C/9), Northwest Territories and Yukon Territory
Bibliographic record
Abstract
This geological map and database are derived from regional mapping in the Chinkeh Creek (NTS 95C/9) 1:50 000 scale map area, as part of the Geological Survey of Canada's Central Foreland NATMAP project. Geological features represented by attributed points, lines, and polygons have been compiled into a GIS dataset suitable for stand-alone use, or integration with other data sets. User-defined attributes provide traditional geological map information with greater detail and enhancements such as explicit orientation data, and lithologies at visited outcrops. The Chinkeh Creek map area is located along the border between southwestern Northwest Territories and southeastern Yukon near the southern termination of the Franklin Mountains. The Kotaneelee and La Biche Ranges dominate the area and are underlain by folded Devonian to Permian age strata. The intervening valleys are occupied by synclines that preserve Cretaceous strata. The box-type Kotaneelee and La Biche anticlines are both west-verging structures with steep-to-overturned western limbs. The La Biche anticline is further modified by a northeast verging thrust fault exposed in the core of the structure. Diverging structural trends can be seen between the north-trending Kotaneelee anticline and the northwest-trending La Biche structure, reflecting a broader interference pattern in the La Biche River (NTS 95C) map area. The map pattern is also modified by the sub-Cretaceous unconformity that cuts out Permian strata towards the north end of the map area.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.013 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.028 | 0.014 |
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".