{"id":"W2971465174","doi":"10.1017/jfm.2019.616","title":"Analytical models of the wall-pressure spectrum under a turbulent boundary layer with adverse pressure gradient","year":2019,"lang":"en","type":"article","venue":"Journal of Fluid Mechanics","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Agence Nationale de la Recherche","keywords":"Turbulence; Boundary layer; Pressure gradient; K-epsilon turbulence model; Adverse pressure gradient; Direct numerical simulation; Turbulence modeling; K-omega turbulence model; Airfoil; Statistical physics; Mechanics; Physics; Mathematics; Classical mechanics; Flow separation; Reynolds number","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002887766,0.0002343752,0.0004205758,0.0001198347,0.00004205375,0.00002818377,0.0004418531,0.0001313238,0.0001150269],"category_scores_gemma":[0.000007138739,0.0001462003,0.0002862635,0.0002102623,0.0000227632,0.0002165037,0.00006785252,0.0004953364,0.000006246519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007151631,"about_ca_system_score_gemma":0.0001097488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007581517,"about_ca_topic_score_gemma":0.000009909184,"domain_scores_codex":[0.9983246,0.00003678747,0.0005103555,0.0001513484,0.00066826,0.0003086867],"domain_scores_gemma":[0.9990547,0.00003078363,0.0001691668,0.0004582159,0.0001515937,0.0001355662],"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":[0.0001246618,0.00007882965,0.00005738066,0.0001190661,0.0006293487,0.00001715954,0.0001638674,0.9641234,0.002370551,0.03142902,0.0008559007,0.0000308403],"study_design_scores_gemma":[0.0008904277,0.000308232,0.0001137654,0.0001750215,0.0004089245,0.0001667166,0.00004035533,0.9873776,0.00107985,0.004501431,0.004756886,0.0001807366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723434,0.003750771,0.01998165,0.001019335,0.001489089,0.0004617692,0.00003166094,0.00004568532,0.0008766329],"genre_scores_gemma":[0.9986342,0.0002540833,0.0004077235,0.0001115737,0.00007345502,0.000001482644,0.000001223984,0.00004889792,0.0004673416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02692758,"threshold_uncertainty_score":0.5961874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008203516814920164,"score_gpt":0.1917951484991487,"score_spread":0.1835916316842285,"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."}}