{"id":"W2623704059","doi":"10.2514/6.2017-4249","title":"Effect of Passenger Preferences on the Integrated Design and Optimization of Aircraft Families and Air Transport Network","year":2017,"lang":"en","type":"article","venue":"17th AIAA Aviation Technology, Integration, and Operations Conference","topic":"Systems Engineering Methodologies and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Air transport; Passenger transport; Computer science; Transport engineering; Air travel; Automotive engineering; Engineering; Aerospace engineering; Aviation","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":[0.0006223354,0.0001685514,0.0002551376,0.0001313802,0.0003238064,0.0000509118,0.0001687717,0.0001725433,0.000008459963],"category_scores_gemma":[0.0003660943,0.0001139368,0.00001865568,0.0001614219,0.000313618,0.0001698109,0.00001811901,0.0001616786,2.874938e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000108001,"about_ca_system_score_gemma":0.00002566484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005509901,"about_ca_topic_score_gemma":0.0001312052,"domain_scores_codex":[0.9992074,0.0001073261,0.0003176583,0.0001798681,0.00008081662,0.0001069372],"domain_scores_gemma":[0.9990138,0.0003499014,0.00009501565,0.0003253704,0.000194723,0.00002120093],"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":[0.00003011621,0.00002457736,0.00763258,0.0001638133,0.0001013412,2.327599e-7,0.0009137894,0.8005431,0.01202076,0.1275281,0.0001387369,0.05090285],"study_design_scores_gemma":[0.0004375191,0.0004855142,0.02084658,0.0003324127,0.00008564214,0.000005523792,0.0009708498,0.9104765,0.06405245,0.001909141,0.0001333205,0.0002645637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2935962,0.0001976177,0.7049827,0.0004457914,0.00006537171,0.0004894816,0.0000150881,0.0001114673,0.00009624089],"genre_scores_gemma":[0.9711738,0.001164539,0.02736671,0.000007055817,0.00001563006,0.0002140904,0.00002181204,0.00001077998,0.00002564399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.677616,"threshold_uncertainty_score":0.4646206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02333952928891197,"score_gpt":0.2514831336985838,"score_spread":0.2281436044096719,"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."}}