{"id":"W4396494601","doi":"10.2514/1.j063650","title":"Near-Field Aeroacoustic Shape Optimization at Low Reynolds Numbers","year":2024,"lang":"en","type":"article","venue":"AIAA Journal","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reynolds number; Acoustics; Mechanics; Field (mathematics); Physics; Geometry; Mathematics; Turbulence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001655176,0.0001506469,0.0001248714,0.00006707036,0.0001794484,0.0003243127,0.0001546008,0.0001212804,0.001764481],"category_scores_gemma":[0.00004393487,0.0001431825,0.00008805846,0.0001801578,0.0000235112,0.0001655496,0.00003991963,0.0004914079,0.0001478581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002127587,"about_ca_system_score_gemma":0.00003705582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002266809,"about_ca_topic_score_gemma":0.000004411806,"domain_scores_codex":[0.9991123,0.00001164886,0.0002513369,0.0001337038,0.0002096684,0.0002813356],"domain_scores_gemma":[0.9995897,0.00008568757,0.00002270628,0.0001339937,0.00004196589,0.0001258828],"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":[0.000003980633,0.000006291002,0.00005467689,0.00005765303,0.00005130461,0.0001374015,0.0001503846,0.9707562,0.0009813035,0.0001105917,0.02180201,0.005888261],"study_design_scores_gemma":[0.0001076177,0.00002984676,0.0000361169,0.0001318391,0.00004092807,0.0003393078,0.00002763814,0.9965822,0.00008050636,0.0002139006,0.002238389,0.0001717793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4099398,0.001514141,0.5735329,0.0004071683,0.005719466,0.0001000915,0.00001394306,0.0004543687,0.008318138],"genre_scores_gemma":[0.9873865,0.0008026713,0.01035722,0.0001248906,0.0006049285,0.000002935683,0.000008083697,0.00006732239,0.0006455029],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5774466,"threshold_uncertainty_score":0.9991481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004219431987734233,"score_gpt":0.2043323294214538,"score_spread":0.2001128974337196,"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."}}