Surficial geology, Dahadinni River, Northwest Territories, NTS 95-N northwest
Bibliographic record
Abstract
The surficial geology represented in this map has been prepared at 1:50 000 scale and published at 1:100 000 scale. Surficial glacial deposits occupy approximately 95% of the map area. The other 5% of the map area is covered by exposed bedrock represented mainly by Devonian shale, limestone, sandstone, and minor Ordovician and Silurian dolomite, and Cretaceous sandstone and shale. Till deposits (units Tb, Tv, Tp, Td, Tr, Tm and Tx) represent ~ 60% of the surficial deposits. Lacustrine (units Lp, Lb, Lv, Lm, Lx) sediments represent ~12% of the surficial cover. About 13% of the area is covered by colluvial deposits (units Cv, Cx) most of which constitute landslides (unit Cz). Glaciofluvial sediments (units Gt, Gp, Gd, Gf and Gx) form about 5% of the surficial deposits and include prominent terraces along the Redstone and Dahadinni rivers. Alluvial deposits (units Ap, A f, Ax) cover about 3% of the map area. Peat deposits cover ~2%.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.038 | 0.007 |
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".