{"id":"W1979670993","doi":"10.1109/aero.2012.6187339","title":"Applying Model Based Systems Engineering (MBSE) to a standard CubeSat","year":2012,"lang":"en","type":"article","venue":"","topic":"Systems Engineering Methodologies and Applications","field":"Engineering","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Systems Modeling Language; CubeSat; Computer science; Unified Modeling Language; Systems engineering; Systems modeling; Modeling language; Domain (mathematical analysis); Spacecraft; Satellite; Software engineering; Aerospace engineering; Engineering; Programming language; Software","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004440869,0.0002154444,0.0002606734,0.0001447456,0.00004369084,0.00005130517,0.0001719341,0.00009019228,0.0000128658],"category_scores_gemma":[0.00005365965,0.000207974,0.00006041109,0.0002776948,0.000004455922,0.0001172039,0.00003030477,0.0001209241,0.00007331523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001672837,"about_ca_system_score_gemma":0.00001117944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001452388,"about_ca_topic_score_gemma":5.926867e-7,"domain_scores_codex":[0.9988734,0.0000119319,0.0002651139,0.0001471916,0.0001809191,0.0005214458],"domain_scores_gemma":[0.9992419,0.00013069,0.00001357786,0.0003770929,0.00003042464,0.0002062875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001534495,0.000004556473,0.00007127948,0.0001346347,0.00001551702,2.05024e-7,0.00006162401,0.9729859,0.02068741,0.003749143,0.001433445,0.0008547148],"study_design_scores_gemma":[0.0001089823,0.000007620539,0.00005161383,0.00004620391,0.000009833443,0.000004148101,0.00007012753,0.9531903,0.006152933,0.000005551606,0.04007691,0.000275804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01877068,0.0004829049,0.9756292,0.00002321502,0.0006527171,0.0007069953,0.00001613725,0.001723519,0.001994637],"genre_scores_gemma":[0.8539131,0.000005179393,0.1442456,0.00003227123,0.0002246285,0.001373446,0.000004099219,0.00007197267,0.0001296697],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8351424,"threshold_uncertainty_score":0.8480932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04604143619916884,"score_gpt":0.2613005098023758,"score_spread":0.215259073603207,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}