{"id":"W6931410911","doi":"10.5281/zenodo.5212676","title":"An Attempt of Large Eddy Simulation (LES) for Combustor Modeling","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Nanomaterials and Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Combustor; Large eddy simulation; Combustion; Turbulence; Combustion chamber; Flow (mathematics); Detached eddy simulation","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003423108,0.00008027907,0.0001185928,0.00008834465,0.0004629091,0.0001635572,0.0003337596,0.00006760257,0.001130682],"category_scores_gemma":[0.0002615712,0.00009152615,0.00003242519,0.0001846282,0.00002206833,0.0001358645,0.0002225204,0.00007944339,0.0001176664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003862352,"about_ca_system_score_gemma":0.000001493336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002603613,"about_ca_topic_score_gemma":2.419223e-7,"domain_scores_codex":[0.9992717,0.00006087439,0.000196081,0.0001696177,0.0001099009,0.0001918625],"domain_scores_gemma":[0.9992403,0.00001718131,0.00003046996,0.0003052829,0.0003671293,0.00003960519],"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":[0.00003691429,0.0001190128,0.000007816194,0.000383046,0.00005081594,0.000003488105,0.0006039419,0.7346207,0.2060117,0.004977473,0.004240152,0.04894489],"study_design_scores_gemma":[0.0003988018,0.00007937057,0.00004423545,0.00003143792,0.00001056049,0.000005853445,0.000271265,0.7805735,0.02969607,0.0002961305,0.1884557,0.0001371647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6080501,0.00009591119,0.3876154,0.00006116305,0.0001168795,0.0002338368,0.0002116014,0.001720047,0.001895027],"genre_scores_gemma":[0.9958312,0.00003003297,0.002920295,0.000008712876,0.00005617583,3.996963e-8,0.0005771227,0.0005473408,0.00002907996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3877811,"threshold_uncertainty_score":0.9997824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04264794632599648,"score_gpt":0.2654252033347113,"score_spread":0.2227772570087148,"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."}}