{"id":"W4297268574","doi":"10.3390/applmech3040067","title":"Multidisciplinary Design Optimization of a Re-Entry Spacecraft via Radau Pseudospectral Method","year":2022,"lang":"en","type":"article","venue":"Applied Mechanics","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Spacecraft; Aerodynamics; Multidisciplinary design optimization; Computer science; Aerospace engineering; Control theory (sociology); Engineering; Multidisciplinary approach; Control (management)","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":[0.0005211234,0.0006825516,0.0006847545,0.000496114,0.0003297221,0.0006982247,0.0005328475,0.0007003493,0.002275483],"category_scores_gemma":[0.00068834,0.0003499323,0.0006856766,0.0003530176,0.0006386836,0.000429205,0.0007351863,0.0006522291,0.0003867734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004709678,"about_ca_system_score_gemma":0.001220209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004987558,"about_ca_topic_score_gemma":0.002998379,"domain_scores_codex":[0.9997997,0.00007162451,0.000006926118,0.00002782551,0.00007107431,0.00002293815],"domain_scores_gemma":[0.9997577,0.000117334,0.00002957178,0.00002041325,0.00005865663,0.00001639072],"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":[0.00002046833,0.00001350053,0.0002583101,0.00005799269,0.00001245659,0.00005350405,0.0000331976,0.9772834,0.001846165,0.0119747,0.0003316025,0.008114653],"study_design_scores_gemma":[0.000003775228,0.00001175931,0.00003848978,0.000003808171,0.000002249438,0.000004667867,0.000005846814,0.9979246,0.0002314895,0.001262828,0.0005083004,0.000002221286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02496251,0.0003595831,0.9620352,0.0001596873,0.00005544062,0.00006578364,0.00005403799,0.0001619479,0.01214586],"genre_scores_gemma":[0.6897635,0.0005562853,0.2984614,0.0001792933,0.00003890416,0.0004567298,0.0001715674,0.000101739,0.0102705],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004987558,"threshold_uncertainty_score":0.00991708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007748603728750175,"score_gpt":0.2121105400919632,"score_spread":0.204361936363213,"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."}}