Report of activities for GEM-2 reconnaissance surficial geology, Indin Lake, Northwest Territories, NTS 86-B: GEM-2 Mackenzie Project
Bibliographic record
Abstract
The glaciated landscape within the study area exhibits large-scale ice flow features such as drumlinoids, crag-and-tails, fluted bedrock, as well as striations, which record westward to southwestward ice flow during the last glaciation. Glacially scoured bedrock dominates the map area. Discontinuous till veneer occurs throughout the map area. Glaciofluvial landforms, including eskers, kames, and outwash plains, are part of meltwater corridors that generally trend westward and southwestward. During deglaciation, which began about 10.5 ka BP, a small number of recessional moraines were formed. Glaciolacustrine sediments, associated with Glacial Lake McConnell, were deposited in the southwestern regions. Associated glaciolacustrine deltas and beaches occur between 290-330 m elevation, marking high lake levels associated with the position of the eastward receding ice front during deglaciation. Isolated deltas unrelated to Glacial Lake McConnell were observed at 370 m and 390 m elevation. Postglacial eolian sediments exhibit dunes recording both north-northwestward and south-southeastward paleowind directions.
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 | 0.001 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.053 | 0.017 |
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".