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Record W2064102246 · doi:10.1029/2005gl022737

On sea ice concentration anomaly coherence in the southern Beaufort Sea

2005· article· en· W2064102246 on OpenAlexafffundabout
Jennifer V. Lukovich, David G. Barber

Bibliographic record

VenueGeophysical Research Letters · 2005
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsUpwellingGeologySea iceLead (geology)Coherence (philosophical gambling strategy)OceanographyClimatologySubmarine pipelineCircumpolar starAnomaly (physics)Forcing (mathematics)Arctic ice packGeomorphology

Abstract

fetched live from OpenAlex

The circumpolar flaw lead polynya system is a region of enhanced biological productivity and for significant portions of the annual cycle, dominates the exchange of energy and mass across the ocean‐sea ice‐atmosphere (OSA) interface. We investigate the nature of sea ice concentration (SIC) anomalies for spatial and temporal statistical persistence within a portion of this flaw lead system. We find such a structure in the shelf break zone between Amundsen Gulf and the Canada Basin. NCEP/NCAR reanalysis data is used to determine the potential roles of oceanic and atmospheric forcing in creating and maintaining this observed coherence in the SIC anomalies. Results suggest that the coherence pattern is consistent over the instrumental record (1979 to 2000), although it changes in shape and extent between years. The forcing mechanisms creating this coherence in SIC anomalies appear to be tied to surface wind‐driven upwelling in the shelf‐break areas of the Southern Beaufort Sea (SBS).

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)0.000
metaresearch head score (Gemma)0.002
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 score0.165
Threshold uncertainty score0.328

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.024
GPT teacher head0.272
Teacher spread0.248 · 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

Citations11
Published2005
Admission routes3
Has abstractyes

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