{"id":"W1986741372","doi":"10.1121/1.3655265","title":"A semi-analytical ray method to predict the propagation of long-range vertical noise: Application of NORD 2000 to the prediction of aircraft en-route noise","year":2011,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Noise Effects and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Noise (video); Aircraft noise; QUIET; Context (archaeology); Range (aeronautics); Meteorology; Sound propagation; Computer science; Computation; Altitude (triangle); Ambient noise level; Environmental science; Aerospace engineering; Acoustics; Remote sensing; Geology; Physics; Noise reduction; Engineering; Mathematics; Algorithm; Sound (geography)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005166124,0.0007496293,0.0005384886,0.0006435295,0.0004845111,0.0007062727,0.0007877076,0.0007599373,0.001048752],"category_scores_gemma":[0.001951344,0.0004804435,0.0005490329,0.0004260832,0.0003541989,0.000608231,0.0006156162,0.0007279658,0.0005030384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004042768,"about_ca_system_score_gemma":0.001390093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01723543,"about_ca_topic_score_gemma":0.009440191,"domain_scores_codex":[0.9997365,0.00009378103,0.00001211031,0.00002469999,0.0001158852,0.00001696959],"domain_scores_gemma":[0.9992622,0.0004097489,0.00006293858,0.00003535548,0.0001978144,0.00003202959],"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":[0.00001429611,0.00002187687,0.0009719672,0.00001758528,0.000008278213,0.00004791179,0.00003084686,0.987416,0.00110537,0.002323248,0.0002756518,0.007766994],"study_design_scores_gemma":[0.00000171794,0.000008328812,0.00008074522,0.00000249248,0.000001364467,0.000008369604,0.000006251631,0.9990551,0.0002105159,0.0003279572,0.0002946585,0.00000251728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04504783,0.0002250861,0.9470587,0.00009083797,0.0001142512,0.00005258101,0.0001080152,0.0006435197,0.00665913],"genre_scores_gemma":[0.7211613,0.0007334395,0.2626811,0.00009949253,0.00007819028,0.0001779386,0.0003467312,0.000283924,0.01443785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01723543,"threshold_uncertainty_score":0.03427023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03003496124738929,"score_gpt":0.3452265797774162,"score_spread":0.3151916185300269,"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."}}