{"id":"W3172398201","doi":"10.1177/09544100211024787","title":"A model-based design methodology for flight control systems: Global 7500 pitch control case study","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bombardier (Canada)","funders":"","keywords":"Iterative design; Interfacing; Design methods; Systems engineering; Sizing; Process (computing); Design process; Computer science; Systems design; Elevator; Probabilistic design; Engineering design process; Airframe; Engineering; Control engineering; Reliability engineering; Work in process","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":[0.002379567,0.001170536,0.0004724149,0.0007418675,0.0006253101,0.001596081,0.001048793,0.001262885,0.003298027],"category_scores_gemma":[0.002123154,0.0005083755,0.001124412,0.000370972,0.0009277168,0.000868657,0.001149465,0.001433042,0.0005157967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001148876,"about_ca_system_score_gemma":0.001854537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003044208,"about_ca_topic_score_gemma":0.002876627,"domain_scores_codex":[0.9985148,0.0005740715,0.00007758632,0.0001516496,0.0006046438,0.00007716916],"domain_scores_gemma":[0.9993808,0.0002760784,0.00005989525,0.000083586,0.0001737436,0.00002590648],"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":[0.00004848058,0.0001125144,0.0006564138,0.0004785419,0.00005825071,0.0004294767,0.0004710453,0.7023055,0.01100076,0.2025848,0.00157449,0.08027977],"study_design_scores_gemma":[0.00004075222,0.0002944352,0.0002224857,0.0001588606,0.00004023402,0.0001939948,0.0001211629,0.9322791,0.005485691,0.03096625,0.03016773,0.00002925912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003495473,0.0001670801,0.9911745,0.0001191882,0.00002172322,0.0001459748,0.00003779323,0.0001412593,0.004697014],"genre_scores_gemma":[0.2088331,0.000537084,0.7840509,0.00009761895,0.0000369525,0.0007884575,0.0001473772,0.00009821677,0.005410335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003298027,"threshold_uncertainty_score":0.01258451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03828247509558143,"score_gpt":0.2624260586252485,"score_spread":0.224143583529667,"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."}}