Analysis of ice types along the northern coast of Ellesmere Island, Nunavut, Canada, and their relationship to Synthetic Aperture Radar (SAR) backscatter
Bibliographic record
Abstract
Ice shelves and other ice features along the northern coast of Ellesmere Island are a complex mixture of ice originating from marine and meteoric sources.This is reflected in the considerable variability in Synthetic Aperture Radar (SAR) backscatter in remotely sensed imagery.This study analyzed the properties of three different ice types across the Milne and Petersen ice shelves and associated them with SAR backscatter.The results indicated that the grain diameter of each ice type was unique in horizontal thin sections and that bubble shape and size were associated with SAR variables.Furthermore, cores extracted from areas originally thought to be glacially-fed were identified as being marine in origin, suggesting that considerable surface ablation has taken place over the past three decades.This research offers the potential to improve our ability to assess long-term changes (past and future) of the ice cover along the northern coast of Ellesmere Island.
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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 | 0.000 |
| 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".