Overview of the main achievements of the Ozone Climate Change Initiative Project
Bibliographic record
Abstract
Atmospheric ozone is an Essential Climate Variable which impacts the radiation budget of the Earth, interacts with atmospheric dynamics and climate, and influences chemically other radiatively active species. As part of the Ozone Climate Change Initiative (Ozone_cci) project, a large number of ozone data sets have been generated from a full suite of atmospheric chemistry satellite missions. Following a first phase of 3 years during which new and improved algorithms and data products have been demonstrated and assessed against well-defined user requirements, the ongoing second phase of the Ozone_cci concentrates on extending and further improving these data sets with the ambition to realize the full potential of the existing archive of satellite ozone sensors. We present an overview of the main realizations of the project. This covers long-series of consistent ozone columns and profiles derived from nadir UV sensors and the thermal infrared IASI instrument. Also addressed is the generation of a large scale coherent data base of vertically resolved ozone measurements derived from a full suite of limb and occultation sensors, optimised for accuracy in a broad range of altitudes extending from the UT/LS to the mesosphere.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 teacher head, 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".