ICE EFFECT ON COAST AND SEABED IN BAYDARATSKAYA BAY, KARA SEA
Bibliographic record
Abstract
For the engineering design of underwater pipelines and communication cables in freezing seas, reliable estimates of the frequency and penetration depth of ice-keel scour on the seabed and shoreface are required. Underestimation of ice gouging intensity on the seabed can lead to the infrastructure damage, while overestimation leading to excessive burial depth raises the cost of construction. Here we present results from recent studies of ice gouge morphology in Baydaratskaya Bay, Kara Sea. The direct impact of ice gouging by floes on the seabed and shores is described, generalized and systematized: the depth of the gouges varies from the first centimeters up to 2 m; the most intensive ice gouging is observed near the fast ice rim, due to the maximum impact executed by ice ridges frozen into large floe. We propose a zonation of Baydaratskaya Bay based on the types of ice formation and the intensity of ice impacts on the coasts and sea floor.
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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) | 0.003 | 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".