Bibliographic record
Abstract
The cluster analysis method has been used to divide the Antarctic sea ice variation field into 5 sectors.Then,foreach of these sectors,the corresponding indexes of vortex area and vortex intensity on the 500 hPa level have been calcu-lated.These data were used to analyse the temporal and spatial characteristics of both Antarctic sea ice and the vortexindex variations and their relationship.Our results show that substantial differences are presented in the climatic patternand interannual variations of the sea ice data and vortex index in different sectors.The maximum sea ice extent varia-tions appear in sector 1 and sector 4.Oscillation periods of 2—2.5 and 5—7 years exist in the variations of sea ice extentand vortex index in most sectors.A positive trend is only found in sector 1 sea ice extent while the other sectors shownegative trends.The average extent of the Antarctic sea ice as a whole has retreated at a rate of 1.6 latitudes per 100years.The vortex areas for all sectors have decreased.Nevertheless,the vortex intensities in 3 sectors have increased.Therelationship between sea ice and vortex characters in each sector is obvious,but a little complex.Sectors 1 and 5,whichare located in the Southeast Pacific and South Atlantic,are the most sensitive areas in terms of sea ice/atmosphereinteraction.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.009 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.008 | 0.003 |
| Insufficient payload (model declined to judge) | 0.992 | 0.994 |
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; the direct Gemma label and the distilled Codex classifier 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".