Potential granular aggregate resources in Northwest Territories and northern Yukon: an updated assessment integrating seismic shothole drillers' logs and surficial geology maps
Bibliographic record
Abstract
This publication utilizes lithostratigraphic information provided by the revised and updated seismic shothole drillers' log database (GSC Open File 6833), and two other borehole databases, to identify potential granular aggregate resources. Lithostratigraphic records are interpreted and presented in a GIS at two depth intervals; upper 10 m (76 958 records) and total shothole depth (89 019 records), and are distinguished by location (surface vs. subsurface) and sediment type (gravel; gravel + sand; sand). This point-stratigraphic information is augmented by including granular aggregate-associated surficial geology map polygons (e.g., glaciofluvial deposits) from published and in progress maps throughout the Mackenzie corridor and northern Yukon. Where shothole records intersect map polygons, they can confirm the existence of aerially extensive surface granular aggregate deposits, and by extension provide a characterization of their sedimentology and thickness. Where shothole data occurs outside of granular aggregate-associed map polygons they can identify sites potentially obscured by vegetation or missed during surficial geology mapping. They also identify deposits in areas that have yet to be mapped.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".