{"id":"W2061472533","doi":"10.2514/1.22659","title":"Interactive Design and Simulation Platform for Flight Vehicle Systems Development","year":2006,"lang":"en","type":"article","venue":"Journal of Aerospace Computing Information and Communication","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Adaptability; Flight simulator; Development (topology); Systems engineering; Simulation; Engineering; Flight test; Control system; Systems design; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002353512,0.00008376528,0.0001696607,0.0002184413,0.0003765125,0.0004905629,0.0002328171,0.00005706861,0.000002124045],"category_scores_gemma":[0.0003228834,0.00006685251,0.00003376317,0.0002061578,0.00003609999,0.001388893,0.00007874637,0.0001089334,0.000003325618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000604227,"about_ca_system_score_gemma":0.00004755069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009441253,"about_ca_topic_score_gemma":0.000001668641,"domain_scores_codex":[0.9984301,0.00007308407,0.001005878,0.00006811164,0.0003381284,0.00008473907],"domain_scores_gemma":[0.9956504,0.001776292,0.001290908,0.0002030794,0.001035472,0.00004391773],"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":[0.0001431829,0.00006211986,0.002329987,0.00002352344,0.00002347285,6.787113e-8,0.004701294,0.805717,0.0002342195,0.01498844,0.003186131,0.1685906],"study_design_scores_gemma":[0.0005552712,0.00006305381,0.01001999,0.00006061615,0.000008038965,0.00001026219,0.001115869,0.9417124,0.0005422268,0.003644953,0.04217602,0.00009127616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1940746,0.000165434,0.8047423,0.0004029004,0.0000452583,0.0003205822,0.000001084833,0.00002097917,0.0002268697],"genre_scores_gemma":[0.9116169,0.00001998414,0.0882194,0.0000578762,0.00002708706,0.000006201727,0.000008620209,0.000003594994,0.00004039757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7175422,"threshold_uncertainty_score":0.4730509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07602620592447233,"score_gpt":0.3717750141419536,"score_spread":0.2957488082174812,"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."}}