Acoustic facies mapping of the Lomonosov Ridge and adjacent basins, in the Arctic Ocean.
Bibliographic record
Abstract
The Lomonosov Ridge is a prominent geological feature in the Arctic Ocean and bears evidence of glacial activity during the Quaternary. Subglacial features on the Ridge have been studied thoroughly but their cause is still a debated topic. The main objective of this research is to create a surficial geological map that can help explain the glacial history of the Lomonosov Ridge and with that, the Arctic Basin. The map is part of an international collective to produce a new layer of the International Bathymetric Chart of the Arctic Ocean, to enable the study of, for example, sedimentary, climatic and oceanographic processes within the basin. In order to create this map, a list of seventeen principal acoustic facies types and seven compound facies types is created by Canadian colleagues, based on their occurrence in the Canada basin and adjacent continental shelves. This list is tested for its ability to classify the surficial geology of the Lomonosov Ridge and adjacent basins. The high-resolution acoustic data covers sub-bottom profiles of the top 100 meters of seafloor of the research area. This data is acquired by the German research vessel Polarstern over the last 30 years and stretches about 65.000 kilometers. Consulting multibeam swath bathymetry data, the sub-bottom is categorized according to its acoustic characteristics. First by their bottom echo and after that by the sub-bottom reflectors and shape. \n\nThe surficial map of the research area is created using ten of the seventeen principal facies and two of the seven compound. One new principal facies type is added, which is the diamicton. It is chosen to distinguish diamicton as new facies type because the optical characteristics differ significantly from the transparent wedge facies type, which is how the Canadians described this facies. Furthermore, the diamicton occurs on structural highs, whereas deposit wedges are present on slopes and in valleys. The distribution of the facies types, that has become apparent after the creation of the surficial geology map, can mainly be explained by waxing and waning of ice, ocean currents and mass movements. The subglacial features found on the sub-bottom data are Mega Scale Glacial Lineations, depositions of reworked sediments and ice-rafted debris, and deposit wedges. These features are analysed and afterwards used to test the theory that states a pan-Arctic ice shelf was present during MIS 6. This theory could not be rejected, because all the areas on the Lomonosov Ridge above 900 meters water depth are eroded. Moreover, the MSGLs on these areas are all in the same direction, west-northwest. These findings might encourage future research to confirm or reject the theory.
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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 | 0.002 | 0.001 |
| 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) | 0.001 | 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".