{"id":"W2508256667","doi":"","title":"OPTIMIZATION STUDY AND PANEL PARAMETER STUDY FOR NOISE RADIATION REDUCTION OF AN AIRCRAFT PANEL EXCITED BY TURBULENT FLOW","year":2016,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Fuselage; Acoustics; Turbulence; Spectral density; Acceleration; Vibration; Noise (video); Sound power; Octave (electronics); Physics; Engineering; Mechanics; Structural engineering; Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004704128,0.0009025661,0.0004449403,0.0006118696,0.0002402937,0.0004462005,0.000311406,0.000489724,0.001135228],"category_scores_gemma":[0.0009871108,0.0002841769,0.0006580499,0.0003653564,0.0001967476,0.0003096815,0.0003023547,0.0003187836,0.0002290865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002594421,"about_ca_system_score_gemma":0.0002427181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001587282,"about_ca_topic_score_gemma":0.002165627,"domain_scores_codex":[0.9997512,0.00004858087,0.00001229104,0.0000457229,0.0001025219,0.0000397152],"domain_scores_gemma":[0.9995131,0.0002257351,0.0000710347,0.00005054018,0.0001251957,0.00001433369],"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":[0.0003362619,0.0002778799,0.002948624,0.0003743563,0.00007629591,0.0002537816,0.0001133476,0.5744681,0.3952805,0.0003347233,0.0003494697,0.02518671],"study_design_scores_gemma":[0.00004300668,0.002371681,0.01295143,0.00003603556,0.000213463,0.0001472545,0.00021617,0.7205356,0.261036,0.0002361349,0.002147001,0.00006621111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9176858,0.0006332707,0.07692184,0.00009315772,0.00003143013,0.00007565598,0.0001768885,0.0002162145,0.004165828],"genre_scores_gemma":[0.9835189,0.0001800402,0.01520575,0.0000154058,0.000003202613,0.00004696696,0.0000763286,0.00002974951,0.0009236528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001587282,"threshold_uncertainty_score":0.00379771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02665972113092079,"score_gpt":0.2426636389129014,"score_spread":0.2160039177819806,"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."}}