Impact of melt water controlled material flux on the sedimentation in the western Baffin Bay and the circum-Greenland marginal seas
Bibliographic record
Abstract
The Arctic is highly sensitive to present climate change and is known to be affected by higher degrees of warming than any other region. Since the Arctic is strongly linked to the global climate system by atmospheric and oceanic circulations, it is crucial to learn more about present and possible future environmental changes in the region. Ice sheets, ice caps, and glaciers play an important role in the Arctic system. To learn more about their sensitivity to climate change, the reconstruction of past ice sheet deglaciation patterns is a helpful tool. An interesting research area for ice sheet reconstruction is the Baffin Bay, which is located between Greenland and the Canadian Arctic and connects the Arctic Ocean with the Labrador Sea. Provenance studies on marine sediments from western Baffin Bay can provide insight into past changes in sediment supply and transport pathways and thus give valuable information about regional ice sheet dynamics and palaeoceanographic conditions. This study analyzed the radiogenic Sr, Nd, and Pb isotope composition of the detrital sediment fraction of four sediment cores from western and northern Baffin Bay and the Canadian Arctic Archipelago. Overall, the data of the sediment cores provide new details on the late Pleistocene and Holocene deglaciation history of the Laurentide Ice Sheet and Innuitian Ice Sheet and related changes in sediment transport processes in western and northern Baffin Bay. Further, the identification of changing sediment provenance of detrital material in marine sediment cores from northern Baffin Bay and Barrow Strait helped to determine better the timing of the opening of these Arctic gateways and the inflow of Arctic waters into Baffin Bay.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".