{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008577293,0.00004702695,0.00006018996,0.00004524913,0.00001870982,0.000001673229,0.00004600411,0.00006412202,0.0001446252],"category_scores_gemma":[0.0000138339,0.00004631371,0.000009003808,0.00009596789,0.00002315009,0.00003935566,0.000008428355,0.00003315162,0.00001841335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002385372,"about_ca_system_score_gemma":0.00001215775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.776793e-7,"about_ca_topic_score_gemma":0.000003840633,"domain_scores_codex":[0.9996632,0.000001795976,0.0001399497,0.00004586362,0.00005395776,0.00009519947],"domain_scores_gemma":[0.9998654,0.00002112199,0.00001511431,0.00005625707,0.00002491026,0.00001727039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005096382,0.00001910029,0.0008771477,0.00001694736,0.00002944139,0.000001388361,0.001296932,0.9450757,0.01028973,0.002001915,0.001518113,0.0388685],"study_design_scores_gemma":[0.0003527157,0.00002690185,0.0008504941,0.00001219131,0.000005321493,0.000001559012,0.001161433,0.03153256,0.9623203,0.00006596016,0.003464686,0.0002059172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01677404,0.00003071097,0.982185,0.000008031147,0.00004526904,0.00005489192,2.491757e-7,0.0004162738,0.0004855019],"genre_scores_gemma":[0.3689148,0.000003223207,0.6309512,0.00001185807,0.0000050511,0.000001763245,0.000002968202,0.000006382748,0.0001026718],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9520305,"threshold_uncertainty_score":0.1888618,"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."}}