{"id":"W2316609830","doi":"10.2514/6.2015-4618","title":"Using Optimization to Exploit a Composable Satellite Product Line Architecture","year":2015,"lang":"en","type":"article","venue":"AIAA SPACE 2015 Conference and Exposition","topic":"Systems Engineering Methodologies and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Exploit; Computer science; Product line; Architecture; Satellite; Product (mathematics); Computer architecture; Computer security; Engineering; Aerospace engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001343939,0.001318839,0.0004817576,0.0009229247,0.0005089139,0.001233701,0.0007997314,0.0005292552,0.002656878],"category_scores_gemma":[0.001870409,0.000611379,0.00105203,0.0006550514,0.0006763896,0.001039422,0.0007416324,0.001118723,0.0003529103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001290459,"about_ca_system_score_gemma":0.001343698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005174216,"about_ca_topic_score_gemma":0.007157321,"domain_scores_codex":[0.9991553,0.0002472515,0.00002912847,0.0001033192,0.0003882415,0.00007670116],"domain_scores_gemma":[0.9992843,0.0003351611,0.00009255389,0.0001571555,0.000108837,0.0000219835],"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":[0.00004763357,0.00004423331,0.0005833925,0.00006969165,0.00003457592,0.00008596943,0.00006188515,0.9167989,0.01278791,0.02549427,0.0004784333,0.04351314],"study_design_scores_gemma":[0.00001563272,0.000105444,0.0001852734,0.00001664456,0.00002859603,0.00003898607,0.00001674351,0.9755628,0.008003688,0.01078752,0.005224396,0.00001433908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03281981,0.0001251007,0.9564447,0.0001193931,0.00002099932,0.0001135328,0.00006521762,0.0007402155,0.009551073],"genre_scores_gemma":[0.3151706,0.0002642366,0.6788999,0.00006302314,0.00001021528,0.0002033201,0.0001815405,0.0003251188,0.004881999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005174216,"threshold_uncertainty_score":0.01028818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1263902520874959,"score_gpt":0.3065395532532842,"score_spread":0.1801493011657884,"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."}}