Imaging pockmarks and ring-like features in Hudson Bay from multibeam bathymetry data
Bibliographic record
Abstract
Multibeam bathymetry data collected in Hudson Bay in 2004, 2005, 2007 and 2010 during an ArcticNet cruises onboard the CCGS Amundsen show two sectors characterized by a high density of pockmarks and peculiar ring structures. The first sector is situated in northern Hudson Bay close to Mansel Island and is characterised by a ± 2 km long depression in which pockmarks with an average diameter of 100 m and an average depth of 10 m are present. The second sector is divided into two distinct parts; a northern domain characterized by a significant number of pockmarks and a southern one dominated by abundant circular ring-like features. The ring structures are < 200 m in diameter and 10 m deep and have a central peak. The occurrence of these features could be explained by salt doming that fractured bedrock. The occurrence of the ring structures and the pockmarks within the same area suggests that they might be process-related and that fluid escape may be an important characteristic for both types of morphological features. The very good state of preservation of both the pockmarks and the ring structures and the fact that they attenuate iceberg scours suggest that they have been formed recently (after deglaciation, i.e., after ~8500 years).
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".