Ice Age Classification Using Cross-Polarization Measurement With X-Band Radar
Bibliographic record
Abstract
The ability of X-band radar to differentiate young ice from second stage thin first-year ice (SST-FYI) is investigated. Cross-polarized Xband radar is employed on the Canadian Coast Guard Ship (CCGS) Henry Larsen, which is capable of measuring the depolarization characteristics of sea ice and glacial ice. The CCGS Henry Larsen recorded several hours of raw radar data (including the radar data of several ice states with both young ice and SST-FYI) on the Northeast Coast of Newfoundland during several days in March 2012. Based on the collected data, the depolarization characteristics of young ice and second stage thin first-year ice are analyzed for the grazing angles less than 4°. The results show that the depolarized reflected wave is stronger for the SST-FYI than the depolarized backscattered wave from the young ice.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".