{"id":"W1973631702","doi":"10.1002/cjce.21642","title":"Large Eddy simulation for lean premixed combustion","year":2012,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Università della Calabria","keywords":"Large eddy simulation; Combustion; Turbulence; Benchmark (surveying); Mechanics; Fluent; Computational fluid dynamics; Inert; Symmetry (geometry); Flow (mathematics); Rotational symmetry; Computer simulation; Materials science; Physics; Chemistry; Geology; Mathematics; Physical chemistry; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004166875,0.0004087785,0.0006629018,0.0003236891,0.0004063987,0.0006437114,0.0004838373,0.0006503072,0.00186981],"category_scores_gemma":[0.001064641,0.0001729064,0.0004243342,0.0003092038,0.0003589556,0.0003942091,0.0004521361,0.000557202,0.0001769711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000522351,"about_ca_system_score_gemma":0.000595673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01275339,"about_ca_topic_score_gemma":0.006759838,"domain_scores_codex":[0.999884,0.00003728522,0.000007926832,0.00001383517,0.00003494872,0.00002196533],"domain_scores_gemma":[0.9995233,0.0002741582,0.00004057447,0.00003143816,0.00008406936,0.00004642658],"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":[0.0002529403,0.0001538097,0.002771768,0.00005358216,0.00002646243,0.0001294065,0.00003543699,0.9862791,0.004029938,0.002208483,0.0003305069,0.003728514],"study_design_scores_gemma":[0.0000158299,0.00002257987,0.000450136,0.000001633638,0.000001680389,0.000003187334,0.000006503171,0.998691,0.0005917615,0.0001040614,0.0001084021,0.00000315669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9386045,0.0003312886,0.04687348,0.0002772138,0.00009533951,0.00009095122,0.000694719,0.0006128371,0.01241971],"genre_scores_gemma":[0.9917434,0.00004242234,0.00634999,0.00001985797,0.000007016772,0.00003716647,0.0002703729,0.00002859278,0.001501194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01275339,"threshold_uncertainty_score":0.02535832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020353609114634,"score_gpt":0.2058196977526887,"score_spread":0.1956161616615423,"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."}}