{"id":"W3084021966","doi":"10.1002/fld.4914","title":"Large‐eddy simulation of subsonic turbulent jets using the compressible lattice Boltzmann method","year":2020,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Fluids","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canadian Bureau for International Education","keywords":"Lattice Boltzmann methods; Compressibility; Compressible flow; Large eddy simulation; Mach number; Jet (fluid); Physics; Turbulence; Statistical physics; Computational aeroacoustics; Mechanics; Aeroacoustics; Mathematics; Classical mechanics; Acoustics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001388674,0.0002076456,0.0004036523,0.0001505882,0.0001150956,0.00008048865,0.0005280651,0.00009101415,0.00008048751],"category_scores_gemma":[0.001335175,0.0001624183,0.0002251575,0.0003487135,0.00004118426,0.0002912183,0.0001145472,0.0004244058,0.000004325007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001693672,"about_ca_system_score_gemma":0.00003290291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005144883,"about_ca_topic_score_gemma":5.277966e-7,"domain_scores_codex":[0.9977399,0.0003857578,0.0008583477,0.0002019416,0.0005200334,0.0002940046],"domain_scores_gemma":[0.9963329,0.002763871,0.000182295,0.0001439365,0.0004694459,0.0001075342],"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":[0.0001042231,0.00004365734,0.0004857323,0.00003193636,0.0002700606,0.000006147246,0.001784144,0.9834409,0.005636721,0.0006851518,0.0002068621,0.007304427],"study_design_scores_gemma":[0.0009585986,0.0000496224,0.0005790011,0.00005267494,0.00006421822,0.00002575403,0.0004285539,0.9766936,0.003525099,0.00216207,0.01529255,0.0001683128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01323065,0.0009231908,0.9831983,0.0009291276,0.001247759,0.0002463738,0.00002111904,0.00006125832,0.0001422144],"genre_scores_gemma":[0.4465786,0.00004750123,0.55243,0.000427793,0.0004417142,0.00001072909,0.000004113738,0.00004180874,0.00001769919],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.433348,"threshold_uncertainty_score":0.6623227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1042160016731451,"score_gpt":0.4533365653312724,"score_spread":0.3491205636581273,"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."}}