{"id":"W2322866281","doi":"10.2514/6.2015-4436","title":"Managing a Satellite Product Line Utilizing Composable Architecture Modeling","year":2015,"lang":"en","type":"article","venue":"AIAA SPACE 2015 Conference and Exposition","topic":"Systems Engineering Methodologies and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Product line; Architecture; Satellite; Product (mathematics); Line (geometry); Distributed computing; Computer architecture; Engineering; Manufacturing engineering; Mathematics; Aerospace engineering; Geography","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":[0.002027495,0.001043594,0.0003156926,0.0009727157,0.001144928,0.003295881,0.00155681,0.0009600464,0.002774353],"category_scores_gemma":[0.00221044,0.0005927845,0.0008986369,0.00068942,0.0009393302,0.003300108,0.001322365,0.001533964,0.0007746237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002070608,"about_ca_system_score_gemma":0.00289415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009883191,"about_ca_topic_score_gemma":0.01399669,"domain_scores_codex":[0.9986754,0.0003754708,0.00008081889,0.0001777408,0.0005967851,0.00009374566],"domain_scores_gemma":[0.9984456,0.0004126653,0.0002135303,0.0004936014,0.0003238312,0.000110785],"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":[0.00009960202,0.0002215657,0.004288772,0.0002091759,0.00007947344,0.0008213602,0.001804202,0.5186604,0.03038999,0.258359,0.004560573,0.1805059],"study_design_scores_gemma":[0.00003654507,0.0001783872,0.0007664603,0.0001124122,0.0000663453,0.0002731699,0.0003307089,0.8411745,0.0149366,0.05485855,0.08720215,0.0000640381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02830252,0.0001395029,0.9511062,0.0004654073,0.00002687424,0.0002405769,0.0000893732,0.00177489,0.01785474],"genre_scores_gemma":[0.212001,0.0005375251,0.7735636,0.0000921481,0.0000197575,0.0003009378,0.0003619216,0.0003630274,0.01276006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009883191,"threshold_uncertainty_score":0.01965135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08579428192908586,"score_gpt":0.2818512247787903,"score_spread":0.1960569428497044,"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."}}