{"id":"W2734747191","doi":"10.2514/1.c034271","title":"Aerodynamics Modeling and Analysis of Close Formation Flight","year":2017,"lang":"en","type":"article","venue":"Journal of Aircraft","topic":"Aerospace Engineering and Control Systems","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wingspan; Aerodynamics; Vortex; Aerospace engineering; Lift (data mining); Angle of attack; Lift-to-drag ratio; Lift-induced drag; Drag; Mechanics; Computer science; Physics; Control theory (sociology); Engineering","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":[0.0002309404,0.00007025266,0.000285644,0.000164874,0.00004679619,0.00004222661,0.0001191213,0.00004635153,0.00000170456],"category_scores_gemma":[0.00003393455,0.00006089049,0.0001124035,0.00006003022,0.00001029988,0.0003202695,0.00001140784,0.0001012683,4.668613e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002765489,"about_ca_system_score_gemma":0.000005530195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007511335,"about_ca_topic_score_gemma":0.00001506259,"domain_scores_codex":[0.999429,0.000006490291,0.0003158019,0.00003478871,0.0001300744,0.00008387806],"domain_scores_gemma":[0.9995171,0.00001413719,0.0001715929,0.0001671834,0.00008096529,0.00004895089],"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":[0.000006799887,0.000004824088,0.001565195,0.00004914792,0.0004513857,0.000003268904,0.0002482258,0.9920264,0.004242033,0.00007921609,0.00004125939,0.00128228],"study_design_scores_gemma":[0.0002405237,0.00002210728,0.004380157,0.0000494749,0.0003013932,0.00001144513,0.00004862036,0.9946166,0.0001717824,0.00003046072,0.000068205,0.00005917946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7540509,0.0005462223,0.2449336,0.00005397732,0.0001851428,0.00002036718,0.000003035798,0.00001314808,0.0001936667],"genre_scores_gemma":[0.998821,0.0001836495,0.0008915779,0.000001906852,0.00007020644,4.414393e-7,7.652338e-7,0.000009047832,0.00002144797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2447701,"threshold_uncertainty_score":0.2483042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006730311846025809,"score_gpt":0.2090112796189674,"score_spread":0.2022809677729416,"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."}}