Preliminary modelling of ground ice abundance in the Slave Geological Province, Northwest Territories and Nunavut
Bibliographic record
Abstract
New infrastructure corridors within the Slave Geological Province could provide transportation, electric, and communications links to mineral-rich areas of northern Canada, and connect southern highway systems and Arctic shipping routes. Relatively little information on permafrost and ground ice is available compared to other regions, particularly in the north of the corridor. Improved knowledge of permafrost and ground ice conditions is required to inform planning and management of infrastructure. Work within the Geological Survey of Canada's (GSC) GEM-GeoNorth program includes mapping periglacial terrain features, synthesizing existing permafrost and surficial data, and modelling ground ice conditions along the Yellowknife-Grays Bay corridor. Here we present initial modelling of ground ice abundance in the region using a methodology developed for the national scale Ground ice map of Canada (GIMC), and higher resolution surficial geology mapping. The results highlight the increased estimated abundance of potentially ice-rich deposits compared to the GIMC when using more detailed surficial geology as model inputs.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".