{"id":"W2890461315","doi":"10.3397/1/376629","title":"Modeling of acoustic lined duct with and without grazing air flow by an analytical method","year":2018,"lang":"en","type":"article","venue":"Noise Control Engineering Journal","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Australian Government; Pratt and Whitney Canada","keywords":"Duct (anatomy); Acoustics; Sound pressure; Transmission loss; Expansion chamber; Sound transmission class; Materials science; Airflow; Perforation; Mechanics; Physics; Engineering; Composite material; Mechanical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003152295,0.000622918,0.0005899028,0.0006462027,0.0003324036,0.0007974014,0.001202993,0.001101377,0.001408681],"category_scores_gemma":[0.0006874973,0.0004508267,0.0007480764,0.0004069172,0.0005424859,0.0007356124,0.0004770854,0.0004324725,0.000506292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004453305,"about_ca_system_score_gemma":0.0006204991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001880671,"about_ca_topic_score_gemma":0.001008843,"domain_scores_codex":[0.9996873,0.00007374704,0.00001571783,0.00006387426,0.0001283576,0.00003099835],"domain_scores_gemma":[0.9997444,0.00007857116,0.00004922741,0.00003054927,0.00008695442,0.00001029074],"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":[0.00005025039,0.00006143944,0.001124393,0.0001497362,0.00002104682,0.0002691569,0.0001828413,0.9167469,0.05099889,0.008449893,0.000381405,0.02156407],"study_design_scores_gemma":[0.000002439011,0.00002234866,0.00009648586,0.000005831213,0.000003624417,0.00004515405,0.00001122627,0.9969603,0.001912694,0.0003138392,0.0006209278,0.000005030378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03855776,0.0002674778,0.9553446,0.00005814828,0.00003404729,0.0000530373,0.00007229138,0.0005986988,0.005013881],"genre_scores_gemma":[0.8313376,0.0009422053,0.1544025,0.00005227173,0.00003741718,0.0003443426,0.0001608695,0.0001286603,0.012594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001880671,"threshold_uncertainty_score":0.004712462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202031509023948,"score_gpt":0.2635271597482353,"score_spread":0.2515068446579958,"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."}}