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Record W4414219514 · doi:10.36688/ewtec-2025-737

Tidal resource modelling of Hestfjord in the Faroe Islands

2025· article· en· W4414219514 on OpenAlexaff
Paul Evans, Danny Coles, Elizabeth Comer-Foley

Bibliographic record

VenueProceedings of the ... European Wave and Tidal Energy Conference · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsIntertek (Canada)
Fundersnot available
KeywordsAcoustic Doppler current profilerCurrent (fluid)Resource (disambiguation)Flood mythChannel (broadcasting)Flow (mathematics)

Abstract

fetched live from OpenAlex

This paper presents results from the first pre-feasibility resource assessment of Hestfjord, a 3 km wide strait between the islands of Hestur and Streymoy in the Faroe Islands. Ambient flow results are presented from a TELEMAC-2D hydrodynamic model to characterise the spatial and temporal variability in the resource across the site. The modelling is calibrated and validated against acoustic doppler current profiler data, showing agreement between modelled and measured current speeds to within 5%. Results show that the currents exceed 3 m/s across a large region to the southern end of the channel during the dominant ebb tide. Flood tides are slightly less energetic, with peak velocities reaching 2.8 m/s over a narrow section along the channels western flank. Results presented here demonstrate that Hestfjord exhibits a sufficiently energetic resource to warrant further study.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.150
Threshold uncertainty score0.298

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.017
GPT teacher head0.173
Teacher spread0.156 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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