{"id":"W4400867486","doi":"10.3397/nc_2024_0154","title":"Broadband Aircraft Noise Attenuation Across Low and High Frequencies Using Structured Materials","year":2024,"lang":"en","type":"article","venue":"NOISE-CON proceedings","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; National Research Council Canada","funders":"","keywords":"Broadband; Attenuation; Noise (video); Acoustics; Environmental science; Materials science; Telecommunications; Computer science; Physics; Optics","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":[0.0001287765,0.0004730715,0.0002057767,0.000306199,0.0001787598,0.0002542994,0.0002618129,0.0003370347,0.000554712],"category_scores_gemma":[0.0002447254,0.0002187827,0.0002139967,0.0001408866,0.0003156321,0.0003237092,0.0003141602,0.0003086328,0.000397612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001356393,"about_ca_system_score_gemma":0.0001573983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001901566,"about_ca_topic_score_gemma":0.0006533453,"domain_scores_codex":[0.9998339,0.00002193877,0.000008268523,0.00004427521,0.00006943104,0.00002208239],"domain_scores_gemma":[0.9997713,0.00004335001,0.00009316856,0.0000246894,0.00004681875,0.00002059643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002986924,0.00001440214,0.00009817263,0.00002959022,0.000003380968,0.00003183732,0.00001750052,0.0006798271,0.9952949,0.0002038445,0.00002564973,0.003571039],"study_design_scores_gemma":[0.00001340222,0.0005761235,0.001069946,0.00001666849,0.00003165608,0.0001033268,0.00003410905,0.01063912,0.9846148,0.0001576822,0.002732371,0.00001079524],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8271408,0.001184836,0.1633398,0.0001322857,0.00008451616,0.00004933979,0.00003901826,0.0004855292,0.007543911],"genre_scores_gemma":[0.9434738,0.0006241914,0.05378487,0.00007553484,0.00003130353,0.00002970972,0.00004675462,0.00005238262,0.001881685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000554712,"threshold_uncertainty_score":0.001855671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01666272098244323,"score_gpt":0.2616564864433567,"score_spread":0.2449937654609134,"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."}}