{"id":"W3197983132","doi":"10.1016/j.jsv.2021.116423","title":"Parametric study on state-of-the-art analytical models for fan broadband interaction noise predictions","year":2021,"lang":"en","type":"article","venue":"Journal of Sound and Vibration","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; École de Technologie Supérieure","funders":"Horizon 2020 Framework Programme; Centre Lyonnais d'Acoustique, Université de Lyon; Université de Lyon; Airbus; Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke; European Commission; FP7 Coherent Development of Research Policies; Agence Nationale de la Recherche; National Aeronautics and Space Administration","keywords":"Reynolds-averaged Navier–Stokes equations; Turbulence; Computation; Noise (video); Parametric statistics; Airfoil; Wake; Cascade; Mean flow; Parametric model; Aeroacoustics; Computational fluid dynamics; Computer science; Simulation; Acoustics; Mechanics; Engineering; Physics; Mathematics; Algorithm; Sound pressure","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006684443,0.0007556248,0.0005756319,0.0004697639,0.0004359056,0.0008435707,0.001187703,0.0007872176,0.002895061],"category_scores_gemma":[0.003173849,0.0003072664,0.0006338538,0.0003391265,0.0003901632,0.0008077206,0.0006592702,0.0006564661,0.0006153719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002681081,"about_ca_system_score_gemma":0.000400215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002341249,"about_ca_topic_score_gemma":0.001696108,"domain_scores_codex":[0.999552,0.0001353361,0.00002000091,0.00006030837,0.0001825769,0.00004980613],"domain_scores_gemma":[0.9985597,0.0008791745,0.00008296859,0.0002069697,0.000243223,0.00002809237],"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":[0.0001479157,0.0001414464,0.001347949,0.0001656917,0.00004049761,0.000157533,0.0001288689,0.9489032,0.01637096,0.004781228,0.0009288637,0.02688585],"study_design_scores_gemma":[0.000003020437,0.00003901762,0.0002333748,0.000009410826,0.00000976401,0.00001945277,0.0000136554,0.9962617,0.002520012,0.0003241516,0.0005593842,0.000007077927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5588717,0.001904877,0.3840646,0.0003961553,0.0002104684,0.0001824319,0.0006005165,0.001711055,0.0520582],"genre_scores_gemma":[0.9897306,0.0002227323,0.007970994,0.00001610345,0.00002215635,0.00004730585,0.0001247914,0.00007681097,0.001788497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002895061,"threshold_uncertainty_score":0.00968492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256666045220145,"score_gpt":0.2683300670704814,"score_spread":0.2457634066182799,"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."}}