Geophysical and Geomorphic Mapping of Hershel Lake and Trout Lake in the Northern Yukon, Arctic Canada: Comparisons between Holocene and Pleistocene Lake Basins
Bibliographic record
Abstract
Geophysical and geomorphic mapping was undertaken to better understand the evolution and sedimentary history and geomorphology of two lake basins in the Yukon Territory of the Western Canadian Arctic. Lake Herschel is a relatively young (Holocene) lake found in the centre of Herschel Island, an island in the Southern Beaufort Sea which is composed of permafrost and thick ice-rich sediments. Trout Lake" is located at the foothills of the British Mountains in a zone of thin cryotic and thin generally ice-poor sediments overlying bedrock along the northern Yukon Slope and likely formed during the Pleistocene. This is the first time that either lake has been mapped using geophysical methods. A Mala Ground Penetrating Radar (GPR) system with a 50MHz and 100 MHz antenna was used to map the lake basins and surrounding stratigraphy. The system was pulled along the surface of the frozen lakes in a grid of transects. Positioning control for the GPR data was collected with a GPS system. Validation data for depth control was provided by a number of holes drilled in the ice for water depth. Piston cores were obtained to characterize the sub-lake floor sediments.
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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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".