Project Summary Dynamics and Forcing of Nares Strait from 2003-09: Tidal to Interannual Variability to the West of Greenland
Bibliographic record
Abstract
Intellectual Merit This proposal seeks support to test the hypothesis that the dynamics of Nares Strait is in a state of transition as the season of landfast ice cover diminishes. To do so, we propose to analyze a comprehensive 6-year data set from an array of moored ocean current, salinity, temperature, sea level, and subsurface pressure sensors, as well as ice thickness observations. The data originate from an unprecedented, high-risk, but ulti-mately successful 2003-2009 Canada-US observational program that took place in Nares Strait, a major pathway of Arctic waters into the North Atlantic to the west of Green-land. We propose to describe and explain the temporally and spatially varying regimes of kinematics and dynamics within this energetic channel. As oceanic fields are forced by vertical and horizontal boundary layer physics at the ice-water, air-water, and ice-air interfaces, the program includes synthesis of data from a meteorological modeling, a remotely-sensed ice (MODIS), and an ice modeling (CICE) component. The moored array was deployed in 2003, serviced in 2006 and 2007, and finally recov-ered in 2009. Münchow and Melling (2008) and Rabe et al. (2010) present first results on the depth-averaged ocean currents and vertical stratification of salinity and temperature,
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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 | 0.001 | 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) | 0.003 | 0.001 |
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".