Surficial geology, Sulphur Bay, Western Great Slave Lake, Northwest Territories, NTS 85-G
Bibliographic record
Abstract
The Sulphur Bay map sheet is a low-relief terrain underlain by lower- to middle-Devonian dolostone and limestone. A thin (<4 m thick) Laurentide Ice Sheet-derived glacial sediment cover drapes most of the landscape, except for bedrock outcrops exposed near Great Slave Lake. Relict glacial landforms record an older northwest ice flow across the region. These are strongly overprinted by subsequent west-southwest-oriented flutings and mega-scale glacial lineations formed during deglaciation. As ice retreated, the entire map area became inundated by glacial Lake McConnell and then subsequently by the expanded postglacial Great Slave Lake. This produced a discontinuous, coarse winnowed surface lag over higher terrain and thin sheets of glaciolacustrine nearshore sands over lower-lying regions. Abundant iceberg furrows occur throughout the map area. Bogs and fens have formed over much of the landscape and display extensive thermokarst.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.025 | 0.004 |
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".