{"id":"W2072730447","doi":"10.1115/ncad2008-73088","title":"A Method for Noise Reduction in Hydraulic Lines","year":2008,"lang":"en","type":"article","venue":"","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Attenuation; Acoustics; Shell (structure); Attenuator (electronics); Noise reduction; Transfer matrix; Noise (video); Mechanics; Materials science; Engineering; Structural engineering; Physics; Computer science; Mechanical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001491195,0.00006218916,0.00009023654,0.0001153926,0.00002319999,0.000004710807,0.00006271002,0.00003614727,0.0000497458],"category_scores_gemma":[0.00004212777,0.00005849099,0.00002345592,0.000173779,0.000012924,0.00006188702,0.00001216465,0.00007785148,0.00002716358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006816656,"about_ca_system_score_gemma":0.00001342694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004790754,"about_ca_topic_score_gemma":0.000008140107,"domain_scores_codex":[0.999507,0.00001058832,0.00011558,0.00009776402,0.00008086765,0.0001882644],"domain_scores_gemma":[0.9997575,0.0000693206,0.000004860578,0.0001019164,0.00002673028,0.00003964834],"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":[0.00006136063,0.00009941494,0.0002232222,0.0002519476,0.00004902218,0.00001704581,0.001590972,0.6010548,0.3252672,0.000767796,0.02948578,0.04113152],"study_design_scores_gemma":[0.0004433017,0.00003027927,0.0007356066,0.000006193946,0.000003046389,0.00003352461,0.0001116042,0.9768113,0.01711766,0.001067122,0.003515297,0.0001250248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1145605,0.0001291956,0.8723736,0.0002624116,0.0001344653,0.0003594517,0.000002601185,0.0002258952,0.01195189],"genre_scores_gemma":[0.8057589,0.00004355633,0.1918808,0.00001572007,0.0001848828,0.00009333414,0.000003832089,0.00002513265,0.001993857],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6911985,"threshold_uncertainty_score":0.2385193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03901715250272549,"score_gpt":0.3065181054467784,"score_spread":0.267500952944053,"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."}}