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Record W2001664122 · doi:10.3384/ecp09430037

Modelica Library for Improved Spacecraft Resource Budgeting

2009· article· en· W2001664122 on OpenAlex
Niccolo Cymbalist, Marc-Andre Lauriault, Chahé Adourian

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.

Bibliographic record

VenueLinköping electronic conference proceedings · 2009
Typearticle
Languageen
FieldEngineering
TopicSpacecraft Design and Technology
Canadian institutionsCanadian Space Agency
Fundersnot available
KeywordsModelicaSpacecraftComputer scienceResource (disambiguation)Aerospace engineeringSystems engineeringSimulationEngineering

Abstract

fetched live from OpenAlex

The SpacecraftLib library has been developed in Modelica for use in the domain of Systems Engineering for space systems with a special emphasis on modularity, usability and ease of modification and expansion. It is a multidisciplinary tool which combines all the relevant subsystems. Power, command and data handling, and mechanical models are integrated into a single Modelica device in order to model as completely as possible the behaviour of a physical onboard device. We will describe the tool, examine a case study and briefly analyze the results of a simulation.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.742
Threshold uncertainty score1.000

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 integrity0.0000.001
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 head0.008
GPT teacher head0.200
Teacher spread0.193 · 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