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Record W2326651084 · doi:10.1115/omae2004-51265

Ocean Energy in British Columbia, Canada: Risk and Rewards

2004· article· en· W2326651084 on OpenAlexaffabout
Niels Nielsen, Neil Blaikie

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWave and Wind Energy Systems
Canadian institutionsBC Hydro (Canada)
Fundersnot available
KeywordsMarine energyWave powerRenewable energyResource (disambiguation)Energy technologyEnergy (signal processing)Energy developmentSubmarine pipelineNew energyElectric powerBusinessEnvironmental economicsEnvironmental resource managementEnvironmental scienceEngineeringOceanographyPower (physics)Computer scienceElectrical engineeringGeologyEconomics

Abstract

fetched live from OpenAlex

The development of Ocean Wave Energy is a leading edge use of primarily existing concepts and technology in a potentially hostile environment. Spawned in part by other offshore industrial and energy related developments, the challenge for ocean wave technology companies has been to harness the huge amounts of this available energy in a safe and efficient manner. With the West Coast of BC having excellent resource potential, electric utilities, power developers and governments have a particular interest in whether Ocean Wave Energy technology has advanced sufficiently to enable development at the near commercial level as a potential future source of renewable energy. This paper will discuss the ocean wave energy potential for BC, how it might be developed, the rewards of successful implementation and the risks that need to be managed.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.047
Threshold uncertainty score0.344

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.001

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 head0.002
GPT teacher head0.135
Teacher spread0.132 · 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 designNot applicable
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
Published2004
Admission routes2
Has abstractyes

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