{"id":"W2407555270","doi":"10.2514/1.c033646","title":"Coupled Optimization of Aircraft Families and Fleet Allocation for Multiple Markets","year":2016,"lang":"en","type":"article","venue":"Journal of Aircraft","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Flexibility (engineering); Aviation; Sustainability; Operations research; Computer science; Engineering; Automotive engineering; Aerospace engineering; Economics","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":[0.001132766,0.001156716,0.001035628,0.0008703475,0.0004037582,0.001007348,0.0006719714,0.001167246,0.002019546],"category_scores_gemma":[0.001798445,0.0008432757,0.001514714,0.000567053,0.0006794235,0.0008634498,0.0009581854,0.0006942215,0.0001872617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001094679,"about_ca_system_score_gemma":0.00116468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005308105,"about_ca_topic_score_gemma":0.004114727,"domain_scores_codex":[0.9995932,0.0001380283,0.00001655693,0.00007281986,0.00007184736,0.0001076007],"domain_scores_gemma":[0.9992543,0.0004308351,0.0001152469,0.00004079539,0.00009134932,0.00006746631],"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":[0.0000236934,0.00001238587,0.0002461654,0.000009927458,0.00001261845,0.00001844099,0.000007230747,0.997291,0.0006941583,0.0004974919,0.00003008332,0.001156691],"study_design_scores_gemma":[0.00001254596,0.00008345925,0.0005111058,0.000003031266,0.00001929163,0.00001136338,0.00002029704,0.9978255,0.0004463387,0.0008535418,0.0002074823,0.000006041572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6746551,0.0003714242,0.3134889,0.0001575435,0.00003432687,0.0001783067,0.0001951496,0.00009319547,0.01082601],"genre_scores_gemma":[0.9722363,0.0001211663,0.02511569,0.0000272605,0.00000550387,0.0001716353,0.0001029141,0.00003488014,0.002184772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005308105,"threshold_uncertainty_score":0.01055437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036253659632724,"score_gpt":0.2286947167711413,"score_spread":0.2183321801748141,"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."}}