{"id":"W2319973819","doi":"10.2514/6.2014-2732","title":"Design Optimization and Staging Assignment for Long-Range Aircraft Operations","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Range (aeronautics); Duration (music); Automotive engineering; Computer science; Operations research; Engineering; Simulation; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003979162,0.0007631766,0.0005064105,0.0003825305,0.0002948337,0.0006541481,0.0004193012,0.000471112,0.003037975],"category_scores_gemma":[0.0006367214,0.0003828875,0.0005344959,0.0003660627,0.0003315368,0.0004890969,0.0004473785,0.000426019,0.0003011686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005570676,"about_ca_system_score_gemma":0.0007916292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002391245,"about_ca_topic_score_gemma":0.004596845,"domain_scores_codex":[0.9997625,0.00007780382,0.000009349052,0.00003623718,0.00006159116,0.0000525748],"domain_scores_gemma":[0.9997969,0.00007527289,0.00004819477,0.0000173916,0.00004149755,0.0000208469],"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":[0.00008079819,0.00004460202,0.0009043079,0.00005972988,0.00001711306,0.00005640547,0.00003643923,0.9661614,0.0147329,0.002100651,0.0001991131,0.01560652],"study_design_scores_gemma":[0.00002423361,0.0002933269,0.001307068,0.00001191697,0.00003066552,0.00003617387,0.00005255437,0.989076,0.004945832,0.002638865,0.00157007,0.0000132722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2772955,0.0003791748,0.7045512,0.0001456421,0.00003812919,0.0001369244,0.00008471707,0.0002585244,0.01711024],"genre_scores_gemma":[0.9181958,0.0001589416,0.07721365,0.0000294676,0.000008076165,0.000102776,0.00008173862,0.0000573191,0.004152291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003037975,"threshold_uncertainty_score":0.01016307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792425592851808,"score_gpt":0.2376917174615125,"score_spread":0.2197674615329945,"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."}}