A GIS dataset of geological features for the Brown Lake map area (95 C/7), Yukon Territory
Bibliographic record
Abstract
The geological map and database are derived from regional mapping in the Brown Lake (NTS 95C/7) 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 Brown Lake map area is situated to the west of the southern end of the Franklin Mountains in a foothills physiographic setting. The geology of the area is characterized by sedimentary strata with the predominance of terrigenous rocks of Late Devonian to Early Cretaceous age. Three subparallel unconformities at the base of Permian, within Permian, and at the base of Triassic successions are recognized. Lower Cretaceous rock units overlie Triassic and Permian rock units with low-angle unconformity at the base. Predominant structures are regional-scale, north-trending box-like folds with narrow limbs and wide hinge zones with sub-horizontal bedding. Locally, the east limb of the Fantasque Syncline is cut by west-verging thrust fault of minor displacement. Stratigraphic improvements include recognition of the informal Permian Tika map unit above the Mattson Formation, assignment of Triassic strata to the Toad Formation, and local recognition of the Chinkeh Formation at the base of Lower Cretaceous succession.
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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 | 0.009 |
| 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) | 0.024 | 0.013 |
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".