{"id":"W3198711545","doi":"10.14459/2013md1253525","title":"Characteristic-Based Non-Linear Simulation of Large-Scale Standing-Wave Thermoacoustic Engine","year":2015,"lang":"en","type":"article","venue":"mediaTUM  (Technical University of Munich)","topic":"Advanced Thermodynamic Systems and Engines","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thermoacoustics; Euler equations; Thermoacoustic heat engine; Mach number; Mathematics; Swift; Stack (abstract data type); Boundary value problem; Compressibility; Amplitude; Compressible flow; Scale (ratio); Mathematical analysis; Acoustics; Mechanics; Physics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002325743,0.0001436534,0.0003392756,0.0001164007,0.0000290969,0.000002078893,0.0002037022,0.0001564065,0.0000427624],"category_scores_gemma":[0.0000692985,0.0001561399,0.00008401605,0.0002064003,0.00007731783,0.00008803322,0.00005416515,0.0001728304,0.000008108465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001110901,"about_ca_system_score_gemma":0.00002717559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001760895,"about_ca_topic_score_gemma":0.00002623354,"domain_scores_codex":[0.9991968,0.00002341037,0.00021625,0.0001324073,0.000226739,0.0002043556],"domain_scores_gemma":[0.9992172,0.0001282967,0.00008850074,0.0003247472,0.0001173442,0.0001238934],"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":[0.00006909714,0.0000660873,0.00009260377,0.0001472196,0.00002687091,0.00001293948,0.0003968067,0.9860409,0.01248755,0.00004372315,0.00009749406,0.0005186476],"study_design_scores_gemma":[0.001022512,0.00007594538,0.001066391,0.00009285483,0.0000435439,0.000001316505,0.0003691895,0.9955024,0.0004688689,0.00004934822,0.001149046,0.0001586382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3743354,0.0000939871,0.6239291,0.00001482002,0.000226112,0.0001478936,0.00009643377,0.0001740205,0.0009822783],"genre_scores_gemma":[0.9953126,0.00002463333,0.004450834,0.000003953689,0.00004787092,3.441351e-7,0.00004762974,0.00002609322,0.00008603613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6209772,"threshold_uncertainty_score":0.6367201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01512198841973638,"score_gpt":0.2117292117861367,"score_spread":0.1966072233664003,"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."}}