Changes in the total ozone distribution in the atmosphere over Antarctica
Bibliographic record
Abstract
The data obtained by the authors during the last decade from satellite measurements in 1979–2016 and related to changes in zonal asymmetry of the Antarctic ozone and to their coupling with atmospheric parameters in the Southern Hemisphere are summarized in this work. The spring levels of the Antarctic ozone in 2000s–2010s do not show increase of the ozone hole size observed in 1980s–1990s. Stabilization and the first evidence of the ozone hole area decrease are considered as consequence of Montreal Protocol 1987 on restriction of emissions of ozone depleted substances into the atmosphere. Long3term changes of total ozone content in atmosphere over the Antarctic region in spring are accompanied by changes in its asymmetric distribution relatively the South Pole. Interannual variations of the longitudinal ozone minimum position demonstrate statistically significant relation to structure of the quasi3stationary planetary waves in distribution of atmospheric parameters. Long3term longitudinal shift of the ozone minimum is similar to shift in zonal structure of planetary waves in the tropospheric parameter distribution and is also accompanied by meridional displacement of the climatic anomalies toward the equator. The obtained relationships characterize interdependence between the large3scale tropospheric and stratospheric disturbances in the Southern Hemisphere during the ozone hole season.
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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) | 0.000 | 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".