A GIS dataset of geological features for the Dendale Lake map area (95 C/15), Yukon Territory and Northwest Territories
Bibliographic record
Abstract
The geological map and database are derived from regional mapping in the Dendale Lake (NTS 95C/15) 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. The Dendale Lake map area is situated at the southern end of the Franklin Mountains in a foothills physiographic setting. The map pattern in the area is dominated by a broad syncline centered over the La Biche River and rising to the east and west into structurally imbricated anticlinal features. The syncline preserves sedimentary strata of Early Cretaceous age, while the anticlines expose strata of Late Devonian to Permian age. Fold trends in the area vary from southeast through south to southwest, and locally interfere with each other. Foreland and hinterland verging thrust faults associated with the anticlinal features juxtapose the Devonian and Carboniferous strata. The type section of the Lower Cretaceous Chinkeh Formation is located in the southeast corner of the map area on a tributary to the La Biche River.
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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 | 0.004 | 0.010 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.030 | 0.012 |
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".