Different contributions of Arctic sea ice anomalies from different regions to North China summer ozone pollution
Bibliographic record
Abstract
Abstract Surface ozone pollution is the main form of summer air pollution in North China and damages human and ecosystem health. Long‐term meteorological observations show that late spring Arctic sea ice and ozone‐related meteorological conditions are positively correlated; this result was further verified by numerical experiments. The Eurasia teleconnection pattern bridged the sea ice over Gakkel Ridge to the local meteorological conditions associated with O3. The sea ice anomalies over the Canada Basin and the Beaufort Sea mainly influenced the O3 pollution in North China via the summer west Pacific pattern. Furthermore, changes in the relationships were also included. The anticyclonic circulation over North China, that is, the joint centre of the Eurasia teleconnection and west Pacific patterns, could significantly lead to suitable weather conditions to accelerate the photochemical reactions to transfer the precursors to surface ozone. This finding helps to improve the understanding of the interannual variation in ozone pollution in North China.
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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 | 0.000 |
| 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) | 0.001 | 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".