{"id":"W2993647676","doi":"","title":"Evaluation of jet noise prediction capabilities of stochastic and statistical models","year":2011,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Jet noise; Turbulence; Reynolds-averaged Navier–Stokes equations; Noise (video); Statistical physics; Aerodynamics; Probabilistic logic; Field (mathematics); Physics; Mathematics; Mechanics; Computer science; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.00329348,0.0008668471,0.0005929213,0.001011069,0.000506684,0.001080332,0.0007630658,0.0009248195,0.0005580327],"category_scores_gemma":[0.008876228,0.0003475752,0.0006798721,0.0005184727,0.0004950895,0.001221452,0.0007367939,0.0006187786,0.00013332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000764201,"about_ca_system_score_gemma":0.00103262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01419577,"about_ca_topic_score_gemma":0.005988919,"domain_scores_codex":[0.9986913,0.0004193474,0.00008825646,0.0001827278,0.0004992203,0.0001192536],"domain_scores_gemma":[0.9935836,0.004167957,0.000537326,0.000600506,0.0009468023,0.0001636618],"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":[0.0001060615,0.00005895815,0.003206325,0.00002613245,0.00003205888,0.00002788728,0.00002924821,0.9829347,0.001222276,0.001829242,0.0001078709,0.01041934],"study_design_scores_gemma":[0.000004035973,0.00003945021,0.0005050286,0.000003517732,0.000004647504,0.000005719548,0.000004265245,0.9987099,0.0004217777,0.0002504388,0.00004393252,0.000007283865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8284329,0.0003954761,0.1635441,0.0004076756,0.00008622598,0.00005244749,0.0003057539,0.001329793,0.005445615],"genre_scores_gemma":[0.9894199,0.00007282017,0.009985465,0.00001840029,0.00001836672,0.00001888384,0.0001334519,0.00003547243,0.0002972045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01419577,"threshold_uncertainty_score":0.02822626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03035056221265772,"score_gpt":0.211690756954488,"score_spread":0.1813401947418303,"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."}}