CNES preliminary POE-G precise obit performances for the Sentinel-6 MF mission
Bibliographic record
Abstract
Ten altimeter missions in Low Earth Orbit (LEO) are currently in-flight, with the last satellite of this impressive LEO altimetry constellation, SWOT, successfully launched in December 2022. This brand new satellite already provides first observations of water bodies with unprecedented details thanks to his Ka-band Radar Interferometer (KaRIn). The Precision Orbit Ephemerides (POE) of the past and present altimeter missions for use on the science-quality Geophysical Data Record (GDR) are consistently processed in the CNES POE-F Standards. This paper focuses on the Sentinel-6 MF reference mission and the preliminary orbits processed with the new CNES POE-G Standards. A comparison of the performances of this updated set of orbits with the current POE-F solutions will be shown. More information on the Standard evolutions concerning the measurement and dynamic models will be provided.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".