{"id":"W2796469581","doi":"10.1155/2018/9358132","title":"Unsteady Simulation of a Synthetic Jet Actuator with Cylindrical Cavity Using a 3-D Lattice Boltzmann Method","year":2018,"lang":"en","type":"article","venue":"International Journal of Aerospace Engineering","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; University of Toronto; Compute Canada; Canada Foundation for Innovation; Government of Ontario","keywords":"Lattice Boltzmann methods; Synthetic jet; Mechanics; Mass flux; Vortex; Actuator; Inflow; Physics; Jet (fluid); Conservation of mass; Flow control (data); Momentum (technical analysis); Inlet; Engineering; Mechanical engineering","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":[0.0003855567,0.0002267458,0.0003854316,0.0003129005,0.00003575279,0.00004878163,0.0002819563,0.00008397691,0.00002633617],"category_scores_gemma":[0.0002862875,0.0001939812,0.0001143719,0.0002490722,0.00005580734,0.0004504132,0.00005367557,0.0002571405,0.000005645624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002348094,"about_ca_system_score_gemma":0.00004502264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008874421,"about_ca_topic_score_gemma":0.000005793913,"domain_scores_codex":[0.9983712,0.00002933544,0.0005667465,0.0001354678,0.0006838995,0.0002133361],"domain_scores_gemma":[0.9979846,0.0004709075,0.0002805218,0.0001571489,0.001007689,0.00009911909],"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":[0.00008211136,0.00003170959,0.001337331,0.00003331445,0.0004913271,0.00002229595,0.0008577412,0.9858384,0.0106369,0.0001232588,0.00001379131,0.0005318399],"study_design_scores_gemma":[0.0008135271,0.0001285449,0.00379335,0.0002945751,0.0001239749,0.0001352448,0.000118739,0.9818195,0.01185616,0.00002597969,0.0006709921,0.000219382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.522145,0.00007834099,0.4768845,0.00006385745,0.0006099807,0.00006422166,0.000006596281,0.00004963917,0.00009786213],"genre_scores_gemma":[0.9166201,0.000009881466,0.08279826,0.0000139472,0.0004955781,0.000001207058,8.464123e-7,0.00004851981,0.00001171286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3944751,"threshold_uncertainty_score":0.7910325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02106149691902673,"score_gpt":0.3050172399064119,"score_spread":0.2839557429873852,"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."}}