{"id":"W3001500280","doi":"10.2514/1.a34616","title":"Optimization of a Supersonic Rocket-Based Combined Cycle Inlet Using Differential Evolution","year":2020,"lang":"en","type":"article","venue":"Journal of Spacecraft and Rockets","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Mach number; Supersonic speed; Rocket (weapon); Aerospace engineering; Differential evolution; Mechanics; Inlet; Control theory (sociology); Physics; Mathematics; Engineering; Mathematical optimization; Computer science; Mechanical 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":[0.0003993492,0.0005067586,0.0006952732,0.0005175156,0.0003965769,0.0007201147,0.0007395853,0.0008931831,0.002105239],"category_scores_gemma":[0.0005901626,0.000297182,0.0004995141,0.0003462452,0.0003131548,0.0003363818,0.00055346,0.0004449848,0.0003042853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005334622,"about_ca_system_score_gemma":0.0007486006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002343016,"about_ca_topic_score_gemma":0.002742917,"domain_scores_codex":[0.9998499,0.00002394934,0.000006068945,0.00003100546,0.00005828407,0.00003073567],"domain_scores_gemma":[0.999808,0.00007607682,0.00003211544,0.00001450743,0.00004877054,0.00002057023],"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":[0.000102391,0.00007019617,0.001447279,0.0000739519,0.00002424862,0.0001056962,0.00004908696,0.9517763,0.01303338,0.002110782,0.0002944965,0.03091218],"study_design_scores_gemma":[0.00001396917,0.000128271,0.0003870303,0.000005835576,0.000009933913,0.00001982735,0.00001170421,0.9950286,0.003382435,0.0002346346,0.0007712653,0.000006459486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2864206,0.0002824391,0.6983836,0.00009599495,0.00004994845,0.0001656218,0.00009482311,0.0005428504,0.01396409],"genre_scores_gemma":[0.8485648,0.0001214389,0.1446307,0.0000352318,0.000007751897,0.0002024772,0.0001445606,0.00005193537,0.006240931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002343016,"threshold_uncertainty_score":0.007042706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153616787138449,"score_gpt":0.2392464868236812,"score_spread":0.2238848081098363,"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."}}