CSA's stratos program: Bringing a new mid-latitude stratospheric balloon base
Bibliographic record
Abstract
In 2012, an agreement was signed between the “Centre National d'Études Spatiales” (CNES) and the Canadian Space Agency (CSA) for an international collaboration for the launch of stratospheric balloons. The CNES, with their 3500 flights of heritage and 50 years' experience in ballooning, brought to the table the flight hardware, including a newly develop control system for aerostat known as NOSYCA, as well as all associated ground support equipment. On the other hand, CSA provides a mid-latitude launch base located in a low populated area of northern Ontario, aerostats recovery services as well as interfaces with all national authorities needed to fly heavy stratospheric balloons safely within Canadian airspace. In exchanges of these services, Canadian payloads are to be flown yearly by CNES from its worldwide network of sites. The effort started with the site selection process and the requirement definition and resulted in infrastructures with distinct buildings for the payloads, the flight chain and means of launch. A first launch campaign was held in 2013 to validate the new NOSYCA control system developed by the CNES and was followed in 2014 and 2015 by scientific ballooning campaigns. This paper describes the Timmins Stratospheric Balloon Base (TSBB) installations as well as the services provided by CSA with regards to interfaces with the national authorities and aerostat recovery. Details are provided on the Timmins facilities including the new deported antenna site which almost doubles the flight range for flights towards the east. Finally, results and statistics from the last 3 campaigns will be discussed.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".