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Flow of Ice Through Converging Channels

2006· article· en· W22728780 on OpenAlexaffabout
Ivana Kubat, Mohamed Sayed, Stuart B. Savage, Tom Carrières

Bibliographic record

VenueInternational Journal of Offshore and Polar Engineering · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsEnvironment and Climate Change CanadaMcGill UniversityNational Research Council Canada
Fundersnot available
KeywordsGeologyIce wedgePressure ridgeWedge (geometry)Sea iceFlow (mathematics)ArcticChannel (broadcasting)Forcing (mathematics)Drift iceMechanicsGeomorphologyArctic ice packGeometryClimatologyOceanographyEngineeringPermafrostMathematicsPhysicsTelecommunications

Abstract

fetched live from OpenAlex

This paper presents predictions of the flow of ice in wedge-shaped converging channels. Such flows are encountered in the relatively constricted waters of the Canadian Arctic Archipelago. Ridging, lead opening patterns, development of high-pressure area, and arch formation are some of the processes present during ice flow through converging channels. An idealized geometry was used in the testing to represent many of the areas typical in the Canadian Arctic Archipelago. The results show the ice cover flow, distribution of stresses, ice thickness, area coverage, ridging, and arch formation at the constricted exit of the channel. The effects of thermodynamic growth and melt are neglected as the forecasts cover durations of only few days.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score0.219

Codex and Gemma teacher scores by category

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

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 head0.006
GPT teacher head0.196
Teacher spread0.190 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations6
Published2006
Admission routes2
Has abstractyes

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