Characteristics of precipitation variation and the abrupt change over Qinghai in recent 45 years
Bibliographic record
Abstract
With spatial interpolation method,Mann-Kendall,Moving-test technique,Yamamoto and the analysis of Partial value,the spatial-temporal features of precipitation in Qinghai were studied by using the precipitation data of 39 meteorological-stuations from the establishment to 2009a.The results showed that the precipitation had the trend of reducing gradually from the east to west,and the region was divided into the northeast、the northwest and the south.In recent 45 years,the precipitation had an slightly increasing trend,but the annual precipitation data around the average data fluctuated greatly.The precipitation in the northwest and the northeast fluctuated greatly in the late-1980s,and the reducing trend appeared in 1990s.However,that in the south begin to reduce from the mid-1980s to the end of 1990s.Above all indicated the state of precipitation in Qinghai was deficient in 1990s.Qinghai province had the weakly signal of the abrupt changes of precipitation,and every area had its own characteristics.The abrupt in the northwest appeared about 1985a,that in the south was about 1980a,and in the northeast was about 2003a.
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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 | 0.000 |
| 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 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".