{"id":"W1990871307","doi":"10.2514/1.j053530","title":"Nonlinear Generalized Lifting-Line Coupling Algorithms for Pre/Poststall Flows","year":2015,"lang":"en","type":"article","venue":"AIAA Journal","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Legendre polynomials; Nonlinear system; Algorithm; Interpolation (computer graphics); Stall (fluid mechanics); Mathematics; Dissipation; Flow (mathematics); Coupling (piping); Applied mathematics; Computer science; Control theory (sociology); Mathematical analysis; Geometry; Mechanics; Physics; Classical mechanics; 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":[0.000881318,0.0007979426,0.0006198995,0.0004978945,0.0005791448,0.0007610368,0.001377309,0.0009577797,0.003545619],"category_scores_gemma":[0.002168738,0.000312446,0.0006216203,0.0004989167,0.0008458654,0.0008360298,0.001980033,0.001583097,0.0009687781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006494184,"about_ca_system_score_gemma":0.001007145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002770955,"about_ca_topic_score_gemma":0.002548255,"domain_scores_codex":[0.9997438,0.00009001481,0.00001587102,0.0000257988,0.00008811699,0.00003644548],"domain_scores_gemma":[0.9993246,0.0002648599,0.0001045829,0.0001027942,0.0001429897,0.00006028648],"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":[0.0001162311,0.0001170054,0.001035629,0.0002021023,0.00002926867,0.0001791036,0.0004012257,0.7590144,0.01451341,0.08936188,0.001521038,0.1335087],"study_design_scores_gemma":[0.000005014449,0.0000170788,0.00003013385,0.000004232043,0.000001205665,0.00001025457,0.000008676884,0.9958754,0.0006509781,0.002861141,0.0005316138,0.00000422788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0141261,0.00005996524,0.9835591,0.00007395643,0.00002828956,0.00005670041,0.00001478254,0.0001657368,0.001915508],"genre_scores_gemma":[0.297616,0.0002051552,0.6944984,0.00008321272,0.00006580459,0.0003427092,0.00009495635,0.0002657568,0.006827929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003545619,"threshold_uncertainty_score":0.01186126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02610143526635701,"score_gpt":0.2655461733215192,"score_spread":0.2394447380551622,"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."}}