{"id":"W1981942327","doi":"10.1121/1.4805128","title":"Design, optimization, and testing of door-grille silencers","year":2013,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Doors; Silencer; Airflow; Acoustics; Noise (video); Computer science; Transmission loss; Computational fluid dynamics; Finite element method; Software; Ventilation (architecture); Marine engineering; Environmental science; Simulation; Automotive engineering; Mechanical engineering; Engineering; Telecommunications; Structural engineering; Aerospace engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005432318,0.0001008649,0.0002432123,0.00001828602,0.00008712254,0.0000131011,0.0004166357,0.00004245964,0.00009304979],"category_scores_gemma":[0.0004975628,0.00005476412,0.00009195388,0.0003193543,0.0006057575,0.00009369073,0.0001251521,0.0003102226,0.000001544452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005425569,"about_ca_system_score_gemma":0.00005448995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004257666,"about_ca_topic_score_gemma":2.096165e-8,"domain_scores_codex":[0.9988709,0.00009223885,0.0003857109,0.00005016003,0.0003958381,0.000205167],"domain_scores_gemma":[0.9978213,0.001360127,0.0002104044,0.0001834975,0.0003435039,0.0000812061],"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":[0.000007769525,0.00001620346,0.00005789299,0.0000588548,0.00009116966,1.012669e-7,0.0004861209,0.9457271,0.0426118,5.172908e-7,0.007473498,0.003468947],"study_design_scores_gemma":[0.0001663889,0.0001285025,0.0004323608,0.00006059936,0.00008211582,0.00001844096,0.001620533,0.99535,0.001666632,0.0003975894,0.00001574442,0.00006107226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01581552,0.0003982973,0.9826545,0.0007317718,0.00006186769,0.0001663727,0.000002705711,0.00001165564,0.0001573519],"genre_scores_gemma":[0.6914175,0.0003647979,0.3080352,0.00008739412,0.00005964443,0.000001223397,7.515837e-8,0.00001594499,0.0000182507],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6756019,"threshold_uncertainty_score":0.2233216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01874217514344426,"score_gpt":0.2316972137947323,"score_spread":0.2129550386512881,"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."}}