Radarsat Constellation, moving toward implementation
Bibliographic record
Abstract
The Canadian Space Agency initiated the development of a three-satellite SAR mission, known as the RADARSAT Constellation Mission (RCM), in 2005. The main objective of the mission is to assure C-band data continuity in the next decade, while allowing a greater use of data for operational applications by providing more persistent observation over Canada and better system reliability. The Phase B contract was awarded in November 2008 for a period of 16 months. The Space and Ground Segment Requirements reviews were held at the end of February 2009. The spacecraft and Ground Segment concepts were adopted and design decisions have been taken to allow preliminary design to proceed. A Payload and Bus Preliminary Design reviews were held in Fall 2009. A Mission Preliminary Design review was held in February 2010. The CSA is currently in phase C and preparing for the Critical Design Review. Several challenges, such as the implementation of the ship detection mode or the final selection of the launcher must be resolved and important decisions must be taken to allow the progress of the program toward full implementation. The first spacecraft will be built and tested as a proto-flight and launched in 2014. The following two spacecrafts will then be built and tested in parallel and launched in 2015.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 | 0.007 |
| 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 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.009 |
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".