Bibliographic record
Abstract
The design of RADARSAT-2, scheduled for launch in 2007, has been driven by the needs of the global Earth observation markets. The RADARSAT-2 Synthetic Aperture Radar (SAR) antenna is a state-of-the-art active array designed, built and tested by MDA in its Montreal facilities. The large 15 m times 1.4 m antenna is comprised of 512 subarrays that are each connected to a Transmit/Receive (T/R) module. High performance electronics provide power and control to the T/R modules. These units along with Radio Frequency (RF) power divider networks and harnesses are mounted on four integrated aluminum panels that are deployed on a Carbon Fiber Reinforced Plastic (CFRP) extendable support structure. The lower level units were built and tested before being integrated to the antenna. The antenna went through acceptance testing that included environmental and near field range tests. Good correlation was obtained between the predicted and the measured performances. The antenna met all expectations and at the time of writing this paper, has been integrated to the spacecraft.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.020 |
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".