Swell Propagation and Nearshore Wave Climate
Bibliographic record
Abstract
A detailed study of swell wave conditions in the southern Pacific Ocean has been performed with particular emphasis on the western Southern American coastline. This study was one part of an overall wave hindcasting investigation undertaken for the Servicio Hidrografico y Oceanografico de la Armada de Chile (SHOA) to define the inshore wave climate at various locations along the Chilean seaboard. Considerable costal infrastructure has been developed in Chile over the last two decades, and the impetus for this study was based on concerns with the lack of consistency utilized in the coastal engineering design process, beginning with, but not limited to, the definition of the wave conditions. The available wave records in Chile are of very limited duration, thus many designers rely on a variety of wave data sources ranging from ship observations to hindcast wave data of various types and flavors. One of the major issues identified was that engineering structures have often been developed using data with relatively simplistic wave definitions, employing integrated wave parameters, such as the characteristic wave height (Hm0), peak wave period (Tp) and the mean wave direction (MWD), As will be shown in this paper, the wave climate in Chile is complex and it is important that appropriately complex wave analysis techniques be employed.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".