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Record W2804551007 · doi:10.2514/6.2018-2605

RADARSAT CONSTELLATION MISSION: Toward launch and operations

2018· article· en· W2804551007 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venue2018 SpaceOps Conference · 2018
Typearticle
Languageen
FieldEngineering
TopicNuclear and radioactivity studies
Canadian institutionsCanadian Space Agency
Fundersnot available
KeywordsConstellationAeronauticsComputer scienceSystems engineeringSatellite constellationRemote sensingAerospace engineeringEngineeringGeologyPhysicsAstronomy

Abstract

fetched live from OpenAlex

objectives and operations context. The RCM is the evolution of Canada's RADARSAT Program with the objective of ensuring data continuity, improving operational use of Synthetic Aperture Radar (SAR) and improving system availability. Another benefit of the constellation lies in the distribution of the sensing capacity over multiple satellites thereby increasing the revisit frequency, especially in the North. The Mission's primary objective is to support the operational requirements of Canadian Government departments. RCM will provide greatly improved operational capability while ensuring SAR observations continue for existing users of RADARSAT-1 and RADARSAT-2 data. With emphasis on the public good applications, the RCM provides the systems and services to user departments who, in turn, deliver service to Canadians through their various mandates. The three main application areas for RCM are maritime surveillance, ecosystem monitoring and disaster management.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.286
Threshold uncertainty score0.374

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.032
GPT teacher head0.242
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it