Surficial geology, Camsell Bend, Northwest Territories, NTS 95-J southeast
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 cover 100% of the map area. Till (units Tb, v, p, d, r, x) deposits cover 41% of the map area. Lacustrine (units Lp, b, x) deposits cover 24%, colluvial deposits (units Cx, z) cover 16%, alluvial and eolian deposits (units Ap, f, x) cover 4%, and glaciofluvial sediments (units Gp, d, f, x) cover 15% of the surficial deposits and includes prominent glaciofluvial terraces along the Mackenzie River. This map is underlain by Devonian limestone (Nahanni Formation) shale, mudstone, and siltstone (Fort Simpson, Trout River, and Redknife formations) and Cretaceous shale and siltstone; small bedrock exposures are visible along slopes incised by channels, and landslide headwalls too small to map.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.137 | 0.028 |
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".