Dynamics ofsurge-type glaciers in Alaska-Yukon revealed by Synthetic Aperture Radar
Bibliographic record
Abstract
氷河サージとは，長い静穏期の後に流動速度が平時の数倍から数百倍にまで短期的に上昇する現象で，末端の前進や高度変化を伴う．サージ型氷河は世界的には数少なく，低頻度な現象であるため，その動態には解明されていないことが多かった．しかし，合成開口レーダー（Synthetic Aperture Radar, SAR）を用いた氷河流動観測が質・量ともに向上し，新たな知見が得られつつある．本稿では，非サージ型氷河の理解にも重要な氷河表面速度と氷河の水理・水文環境の変動を概観するとともに，これまで提起されたサージ発生メカニズムとその問題点を解説する．次に，SARによる氷河流動観測技術の進展と最近のサージ検出事例を紹介し，サージ発生メカニズムに関する最新の知見を議論する．最後に，衛星SARによる今後の氷河流動観測について述べる．
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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 | 0.000 | 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 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".