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Record W2026207260 · doi:10.4043/25474-ms

Design and Development of a Greenland Ice and Metocean Geoportal

2015· article· en· W2026207260 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOTC Arctic Technology Conference · 2015
Typearticle
Languageen
FieldComputer Science
TopicModel-Driven Software Engineering Techniques
Canadian institutionsASL Environmental Sciences (Canada)
Fundersnot available
KeywordsGeoportalBathymetryComputer scienceRemote sensingOceanographyGeographyGeospatial analysisGeology

Abstract

fetched live from OpenAlex

Abstract Completed and planned metocean and ice measurement programs off Greenland's eastern and western coasts result in large and varied datasets characterizing physical phenomena such as icebergs, sea ice, seabed scours, weather, surface waves, ocean currents, and water properties. Future planned measurement programs will expand on the spatial and temporal breadth of these datasets. Other datasets support the analysis of the measurement data including license area locations, bathymetry, glacier calving areas, and notable submarine features. In order to plan measurement programs, manage the acquired datasets, and use the data for characterization of the physical environment, a web-based geoportal was designed and developed. The geoportal aids scientists and engineers in their discovery and use of metocean and ice data. The geoportal development required balancing two aspects. Firstly, scientists and engineers have extensive needs to upload, organize, search, visualize, analyze, and download large and varied datasets. Secondly, there are inherent limitations of web technologies due to bandwidth, latency, and security constraints. Many design decisions were focused on balancing these issues and are presented here.

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.

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: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.699
Threshold uncertainty score0.554

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 head0.044
GPT teacher head0.243
Teacher spread0.200 · 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