A spaceborne microwave radar system for looking inside clouds
Bibliographic record
Abstract
CloudSat is a NASA ESSP (Earth System Science Pathfinder Mission) that provides from a space the first global survey of cloud profiles and cloud physical properties, with seasonal and geographical variations. The data obtained will allow for clouds and cloud processes to be more accurately represented in global atmospheric models leading to improved climate change predictions, and eventually, weather forecasting. To achieve this ambitious goal, JPL (Jet Propulsion Laboratory) in collaboration with CSA (Canadian Space Agency) designed, developed, and tested a 94.05 GHz, W-band, microwave cloud profiling radar system derived from current ground-based and airborne systems. The CloudSat Project team is witnessing how well the instrument performs during in-flight operations with the recent successful launch. Although Level 1 (i.e. radiometric-corrected and geo-located) and Level 2 (i.e. retrieved geophysical parameters) science data products will not be released until the January 2007 timeframe, the yet uncalibrated and unvalidated "quick look" products, available to the general public on the CloudSat Data Processing Center website, provide every indication that the mission objectives will be met.
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.006 |
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".