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Record W7098059108

Project Summary Dynamics and Forcing of Nares Strait from 2003-09: Tidal to Interannual Variability to the West of Greenland

2015· article· en· W7098059108 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsSea iceArcticForcing (mathematics)Stratification (seeds)Drift iceThe arcticAntarctic sea iceOcean dynamics
DOInot available

Abstract

fetched live from OpenAlex

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,

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score0.237

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.015
GPT teacher head0.229
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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