{"id":"W3129285050","doi":"10.1002/9781119756743.ch8","title":"An Efficient Far‐Field Noise Prediction Framework for the Next Generation of Aircraft Landing Gear Designs","year":2021,"lang":"en","type":"other","venue":"","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Landing gear; Noise (video); Near and far field; Computer science; Field (mathematics); Experimental data; Computer simulation; Algorithm; Aerospace engineering; Engineering; Simulation; Mathematics; Artificial intelligence; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000491738,0.000831363,0.0005510203,0.0007107384,0.0003999151,0.0007113364,0.001086553,0.0007159502,0.002068258],"category_scores_gemma":[0.000915135,0.0003701713,0.0005928653,0.0002875342,0.0003252129,0.0008995282,0.0006346218,0.0005771649,0.0006170913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000551676,"about_ca_system_score_gemma":0.001293388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00521133,"about_ca_topic_score_gemma":0.004290564,"domain_scores_codex":[0.9997839,0.00004894334,0.000007922132,0.00002810035,0.0001108043,0.00002032645],"domain_scores_gemma":[0.9997458,0.00006237077,0.00003739654,0.00003193484,0.0001052131,0.00001729191],"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":[0.00001427727,0.00003809625,0.0006468258,0.00003400055,0.0000108966,0.00004781467,0.00002714843,0.9608484,0.005222428,0.007384101,0.0005618451,0.02516418],"study_design_scores_gemma":[8.539412e-7,0.000004660104,0.00004437157,0.00000217624,0.000001052556,0.000003867399,0.000002943321,0.9988053,0.0002923439,0.0005345614,0.0003058653,0.000001992839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01234543,0.0001002769,0.9836079,0.0000647643,0.00001954235,0.00002738746,0.00005600966,0.0004232606,0.003355344],"genre_scores_gemma":[0.5792296,0.0004067229,0.4141163,0.00008246552,0.00006804331,0.0002625466,0.0003839048,0.0002899159,0.005160499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00521133,"threshold_uncertainty_score":0.01036197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04668599873267707,"score_gpt":0.2650868926251844,"score_spread":0.2184008938925074,"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."}}