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Record W7042180893

Ocean Energy: Using the Ocean's Tides, Waves, and Heat to Generate Electricity

2006· article· en· W7042180893 on OpenAlexaboutno aff

Bibliographic record

VenueIssue Lab (Candid) · 2006
Typearticle
Languageen
FieldEngineering
TopicWave and Wind Energy Systems
Canadian institutionsnot available
Fundersnot available
KeywordsTidal powerMarine energyElectricityElectricity generationHeat waveWind waveTidal current
DOInot available

Abstract

fetched live from OpenAlex

Key facts: - The oceans' tides, waves, current, and heat can be used to generate electricity. These resources are renewable, because the moon's gravity drives tides, and winds create waves. Covering 70 percent of the Earth's surface, the oceans collect significant amounts of heat from the sun. - A tidal dam with a capacity of 240 megawatts (MW) has operated in France since 1966; a 100 MW tidal dam has generated power in China since 1987; and a 20 MW tidal dam has operated in Canada since 1984. Several other, smaller ocean energy systems are also in use around the world. Theoretically, ocean waves could produce more than 2 million MW of electricity, according to the US Department of Energy. - The best locations for harnessing wave power are regions with the strongest winds. Areas off the Northwest and Northeast coasts of the United States have good potential for ocean energy.

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)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.003

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 head0.007
GPT teacher head0.193
Teacher spread0.186 · 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
GenreOther

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
Published2006
Admission routes1
Has abstractyes

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