Bibliographic record
Abstract
In this paper the relationships between the sea surface temperature (SST) of Xisha and that in the northern Indian and northern Pacific Oceans,the geopotential height at 500 hPa level of the Northern Hemisphere,and rainfall in China are studied statistically using data in the period of 1961-1992.Results show that in winter,the interannual variation in SST of Xisha describes that for a large oceanic region off the East Asia coast,and is closely related to the activity of East Asia winter monsoon.On the other hand,there exist very high values of auto-correlation of Xisha SST anomaly from December through the following July,but the anomalous condition is hardly correlated to that in the preceding autumn.The winter monsoon related anomalous SST condition in Xisha has a strong tendency to persist through the succeeding summer monsoon season with the same sign.In addition,correlation maps of monthly mean rainfall in China with respect to Xisha SST of the same month show positive correlations with confidence level above 95% to the east of 110°E and to the south of Changjiang (Yangtze) River during the months of October through April;the region becomes smaller in May and changes correlation sign in June;the positive correlation region is located in the middle and lower reaches of Changjiang River from July to September.The air-sea interaction plays an important role in these processes.
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How this classification was reachedexpand
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) | 1.000 | 1.000 |
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; both teacher heads agree on what is shown here.
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".