{"id":"W2117418513","doi":"10.1109/iccsa.2007.18","title":"Development of Aircraft Conceptual Design Optimization Software","year":2007,"lang":"en","type":"article","venue":"","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Conceptual design; Software; Computer science; Systems engineering; Component (thermodynamics); Process (computing); Conceptual model; Genetic algorithm; Design process; Simulation; Engineering; Human–computer interaction; Work in process; Database; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002137716,0.001022132,0.0009072263,0.001401367,0.0005214277,0.001188328,0.001979423,0.0005382482,0.01102558],"category_scores_gemma":[0.00474402,0.001016854,0.001079453,0.0008820234,0.0003023288,0.0008453264,0.0009977111,0.001760063,0.003947523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007055225,"about_ca_system_score_gemma":0.001981046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002618984,"about_ca_topic_score_gemma":0.002153343,"domain_scores_codex":[0.9990888,0.0001546607,0.000104721,0.0001252129,0.0004538593,0.00007277589],"domain_scores_gemma":[0.9978935,0.000778886,0.0000970451,0.0002284414,0.000939467,0.00006274236],"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":[0.0003167578,0.0002561061,0.002782421,0.0007965986,0.0002067371,0.0003423152,0.0003556237,0.46764,0.02759062,0.03647378,0.03074974,0.4324893],"study_design_scores_gemma":[0.0001978451,0.0001176424,0.0008464789,0.00009697641,0.00005889416,0.0001415286,0.00004556017,0.8852131,0.02335456,0.007776387,0.08209315,0.00005786282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00635057,0.00008900708,0.9633917,0.0000716246,0.00004928403,0.0003312854,0.001292999,0.02115029,0.007273174],"genre_scores_gemma":[0.05491307,0.0003213201,0.9288307,0.00008730691,0.00003204098,0.001378983,0.005209835,0.005030722,0.00419598],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01102558,"threshold_uncertainty_score":0.03688425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01694817518487192,"score_gpt":0.2146460318068864,"score_spread":0.1976978566220144,"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."}}