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Record W2053087023 · doi:10.1115/omae2007-29565

Tidal Power and Ocean Ice in the Bay of Fundy, Canada: 1968-2007

2007· article· en· W2053087023 on OpenAlexfundaboutno aff
Richard Sanders, Emile Baddour

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
FundersNatural Resources CanadaNational Research Council CanadaIndustry CanadaElectric Power Research Institute
KeywordsBayOceanographyTidal powerCurrent (fluid)Sea iceGeologyDrift iceFast iceTidal currentEnvironmental scienceArctic ice packMarine engineeringEngineering

Abstract

fetched live from OpenAlex

Ocean ice capable of impacting marine operations occurs periodically in the most favorable sites for energy harvest from the tidal currents of the Bay of Fundy in Nova Scotia and New Brunswick. In-stream tidal current harvesting devices deployed at these sites should to be engineered to tolerate at least 30% ice cover with 15 cm (6 inch) thick floes at least 100 metres in length. Propelled by tidal currents and prevailing winds, ice floes may achieve velocities in excess of 8 knots in some locations. In very severe winters, in-stream tidal current harvesting devices may be subjected to periods of 90% cover of rapidly moving or packed ice thicker than 30 cm (12 inches). Markets for ice-tolerant tidal current harvesting devices developed under the moderate ice conditions in the headwaters of the Bay of Fundy may exist in other jurisdictions with energetic tidal flows which experience more severe conditions of ocean ice.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.179

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.185
Teacher spread0.180 · 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 designObservational
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

Citations2
Published2007
Admission routes2
Has abstractyes

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