Bibliographic record
Abstract
地球的三极, 即北极、南极和第三极(即青藏高原及其周围地区), 拥有地球上最大储量的淡水资源. 地球三极均对气候的变化响应敏感, 然而三极气候变化之间的关联, 特别是南极和第三极之间的关联却知之甚少. 在200hPa高度, 夏季气温在地球三极的上空最高, 且受地表条件影响较小, 可能反映出大尺度的气候动态关联特征. 地球三极的温度在年代际时间尺度(10~100年)上表现出同相变化特征, 北极和南极上空200hPa处的温度与布鲁尔-多布森环流(BDC)显著相关, 这可能是由于布鲁尔-多布森环流将平流层臭氧向南北极输送, 并同步加热了南北极200hPa处的空气. 我们发现在第三极的对流层顶变暖增强了向两极的, 特别是向南极的, 布鲁尔-多布森环流输送, 由此将第三极的气候与南北极气候联系起来. 此外, 太平洋年代际涛动(IPO)也显示出与三极200hPa处温度的关联.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.068 | 0.048 |
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".