Temporal switching between sources of the Denmark Strait overflow water
Bibliographic record
Abstract
The Denmark Strait overflow water derives from several distinct sources. Arctic Intermediate Water from the Iceland Sea, Atlantic Water of the West Spitsbergen Current recirculating in the Fram Strait, and Arctic Atlantic Water returning from the different circulation loops in the Arctic Ocean all take part in the overflow. Denser water masses, such as the upper Polar Deep Water and the Canadian Basin Deep Water from the Arctic Ocean and Arctic Intermediate Water from the Greenland Sea, are occasionally present at the sill and could contribute the deepest part of the overflow plume. A comparison between hydrographic observations made during the Greenland Sea Project in the late 1980s and early 1990s and during the European Sub Polar Ocean Programme (ESOP) and Variability of Exchanges in the Northern Seas (VEINS) programmes in the late 1990s shows that the Greenland Sea Arctic Intermediate Water has largely replaced the Arctic Ocean deep waters. In the less dense fraction of the overflow the Recirculating Atlantic Water and Arctic Atlantic Water carried by the East Greenland Current have become more prominent than the Iceland Sea Arctic Intermediate Water. If the Denmark Strait overflow were to switch between different sources, it would lead to changes in the characteristics of the overflow water that add to the variations caused by the variability of the source waters. Article from Marine Science Symposia Vol. 219 - "Hydrobiological variability in the ICES Area, 1990-1999", symposium held in Edinburgh, 8-10 August 2001. To access the remaining articles please click on the keyword "MSS Vol. 219".
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".