FUTURE WAVE PROJECTION DURING THE TYPHOON AND WINTER STORM SEASON
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
IPCC’s AR5 stated that it is more likely than not that the frequency of tropical cyclones (TCs) will decrease and that the intensity of TCs will increase over the Western North Pacific in the late 21st century. Until now, many researchers have tried to project wave climate according to various climate change scenario (Hemer et al., 2013). Most studies focus on the change of mean and extreme wave heights. These indices are important to evaluate the effects on coastal structures in terms of natural disaster prevention. However, the effect of climate change on wave conditions induced by extreme events is still vague. The aim of this study is to evaluate the effects of future climate change on wave conditions from one-month simulations including periods of extreme events based on the pseudo-warming method (Sato et al., 2007) with the most recent IPCC scenario.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it