{"id":"W2029081996","doi":"10.1115/pvp2007-26404","title":"Acoustic Power Calculation in Deep Cavity Flows: A Semi-Empirical Approach","year":2007,"lang":"en","type":"article","venue":"","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Acoustics; Sound power; Acoustic source localization; Physics; Acoustic wave equation; Vorticity; Acoustic radiation; Particle image velocimetry; Duct (anatomy); Particle velocity; Turbulence; Acoustic wave; Mechanics; Optics; Vortex; Radiation","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":[0.0006404927,0.0001465639,0.0001651486,0.0002132554,0.00002879781,0.00002300964,0.0001362669,0.000134808,0.0001715792],"category_scores_gemma":[0.0001050927,0.0001372361,0.00003647455,0.0004720092,0.00002872234,0.0001041011,0.00005153793,0.0003458877,0.00009212397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004185622,"about_ca_system_score_gemma":0.00002032837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004432003,"about_ca_topic_score_gemma":0.0001588512,"domain_scores_codex":[0.9986209,0.00002288187,0.0002671283,0.0002127378,0.0003400504,0.0005363531],"domain_scores_gemma":[0.9994119,0.0001518064,0.000009779855,0.0002338354,0.00004023245,0.0001524671],"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":[0.00002452887,0.0001247004,0.006500153,0.00009808428,0.00002383921,0.00004129891,0.0008749823,0.9748761,0.01473771,0.0001084788,0.0008558729,0.001734222],"study_design_scores_gemma":[0.0003005199,0.00001629627,0.03126097,0.000005419678,0.00000446427,0.000008600831,0.0002553318,0.9675765,0.0001890744,0.0001242155,0.0000840393,0.0001745404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3183913,0.00005474028,0.6365009,0.00001686635,0.00006556678,0.0001862963,0.000001315949,0.0001759179,0.04460709],"genre_scores_gemma":[0.9911392,0.000002709992,0.008411323,0.00003912386,0.00006813843,0.0000126996,0.00001031849,0.00003537492,0.0002810842],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6727479,"threshold_uncertainty_score":0.5596328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0209681219223677,"score_gpt":0.2856985353640634,"score_spread":0.2647304134416957,"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."}}