{"id":"W2979451775","doi":"10.1063/1.5118365","title":"Bi-global stability analysis in curvilinear coordinates","year":2019,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada; National Natural Science Foundation of China; Foundation for Innovative Research Groups of the National Natural Science Foundation of China; National Key Research and Development Program of China; China Scholarship Council; Government of Ontario","keywords":"Instability; Physics; Mechanics; Curvilinear coordinates; Reynolds number; Dimensionless quantity; Airfoil; Flow separation; Shear flow; Angle of attack; Stratified flow; Flow (mathematics); Classical mechanics; Boundary layer; Turbulence; Aerodynamics","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":[0.0001149184,0.0001252398,0.00031394,0.00005412759,0.000007408124,0.00001090193,0.0001533036,0.0000458414,0.00008142636],"category_scores_gemma":[0.000007016302,0.000128763,0.0001509005,0.0009263981,0.00002398766,0.0001033356,0.00003785151,0.00008497568,0.0000397861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006556321,"about_ca_system_score_gemma":0.00001161005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001360739,"about_ca_topic_score_gemma":0.00004652328,"domain_scores_codex":[0.9992592,0.00001377156,0.0002346517,0.0001628334,0.0001436877,0.0001858932],"domain_scores_gemma":[0.9995256,0.00003247857,0.00001677266,0.0003404818,0.0000476171,0.00003705571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001050509,0.0001242589,0.5310575,0.0001442028,0.0002950606,9.833512e-7,0.0001142231,0.4448377,0.00926469,0.01259262,0.0000512942,0.001506965],"study_design_scores_gemma":[0.0002397925,0.00002005772,0.03460979,0.000008345123,0.00005414989,6.660645e-8,0.000009572986,0.9609589,0.001835325,0.002046969,0.00008158961,0.0001354232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929603,0.0002173062,0.003067953,0.00001311411,0.0001494233,0.0001059926,0.00008312368,0.00005932748,0.003343427],"genre_scores_gemma":[0.9994711,0.000029378,0.0004049943,0.000005742756,0.00002564784,0.000003745308,0.00003660601,0.00001151213,0.00001124476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5161212,"threshold_uncertainty_score":0.5250804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007318231977831203,"score_gpt":0.2144197453670308,"score_spread":0.2071015133891996,"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."}}