Wave and meteorological site characterization for the Wave Energy Research Centre in Lord's Cove
Bibliographic record
Abstract
This paper describes the wave and me- teorological environment at the newly cre- atedWave Energy Research Centre in Lord's Cove NL (46o 52'43"N 55o 40'10"W). The data were obtained from near-shore surface and sub-surface wave measurement devices and a shore-based meteorological station col- lected over a two year period. Water depth at the measurement site was 25 m. The high- est waves (~10 m) were recorded in fall storms and late summer hurricanes, with late spring and early summer having the calmest water (significant waves typically between 0.5 and 1.5 m). Winter weather was considerably more energetic, with significant wave heights in the 3 to 6 m range. Sustained winter winds were frequently above 60 km/hr, with storm gusts commonly up to 120 km/hr . As might be expected from typical storm tracks in the region and the site's exposure, the highest winds and largest waves were from the southwest. Although hindcast models predict an offshore wave power density in the region of 20 to 25 kW/m, the average power density we detected (within 1 km of shore) was 10.7 kW/m, with peak power of 278 kW/m. It is concluded that the site is sufficiently energetic to assess full scale wave energy device performance and to provide extreme challenges to structural and moor- ing system design.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".