{"id":"W4220971174","doi":"10.1063/5.0084060","title":"The third golden age of aeroacoustics","year":2022,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computational aeroacoustics; Aeroacoustics; Airfoil; Physics; Jet noise; Noise (video); Trailing edge; Airframe; Acoustics; Aerospace engineering; Supersonic speed; Aerodynamics; Wind tunnel; Mechanics; Computer science; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001567277,0.00008962621,0.0001470903,0.00001445331,0.0001104969,0.000008620019,0.0003463356,0.00001863371,0.0000102395],"category_scores_gemma":[0.00001634085,0.00007926606,0.00007544675,0.0001580782,0.00007554001,0.00002434165,0.000147102,0.0001841807,0.00000180345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003325906,"about_ca_system_score_gemma":0.00001544072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007518443,"about_ca_topic_score_gemma":0.000001393061,"domain_scores_codex":[0.9992926,0.00001395326,0.0002102934,0.00007389031,0.0002586,0.0001506244],"domain_scores_gemma":[0.9994687,0.0001156875,0.00003574034,0.0003129213,0.00004479975,0.00002218529],"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":[0.0000067934,0.00005851634,0.00007610301,0.00008483063,0.00008938468,0.000004028602,0.0004572447,0.7782809,0.1661582,0.04420642,0.005276729,0.005300842],"study_design_scores_gemma":[0.0002046357,0.00007831571,0.0002335507,0.00001015092,0.00005357982,0.00000136284,0.0002792476,0.9661496,0.003929805,0.02212307,0.006751653,0.0001850072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7147884,0.001468333,0.2389868,0.000120643,0.002885869,0.0004140187,0.0004910987,0.0002443046,0.04060052],"genre_scores_gemma":[0.998494,0.0001097435,0.00102728,0.00001128175,0.00009999741,0.00001300963,0.00001604739,0.00002691098,0.000201743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2837056,"threshold_uncertainty_score":0.3232376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009437695543355577,"score_gpt":0.2090012657439975,"score_spread":0.1995635702006419,"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."}}