{"id":"W2588005784","doi":"10.1108/hff-07-2015-0299","title":"Large eddy simulation of spark ignition of a bluff-body stabilized burner using a subgrid-ignition model coupled with FGM-based combustion models","year":2017,"lang":"en","type":"article","venue":"International Journal of Numerical Methods for Heat &amp Fluid Flow","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Large eddy simulation; Ignition system; Combustor; Combustion; Mechanics; Turbulence; Computer science; Simulation; Statistical physics; Physics; Thermodynamics; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000295219,0.0003804051,0.0004833291,0.0002899153,0.0004517858,0.0007357208,0.0006830882,0.0009261439,0.001127956],"category_scores_gemma":[0.0006703243,0.0002078641,0.0005101249,0.0002365317,0.0005739746,0.0003305965,0.000502997,0.00058404,0.0001357424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007131501,"about_ca_system_score_gemma":0.0008855091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02283748,"about_ca_topic_score_gemma":0.008985518,"domain_scores_codex":[0.9999131,0.00002546168,0.000005289105,0.00001275599,0.00002132835,0.0000221323],"domain_scores_gemma":[0.9996997,0.0001551149,0.00004526548,0.00001833471,0.00003719955,0.0000444555],"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":[0.00005089618,0.00005380493,0.001304021,0.00001551229,0.00001093701,0.00007167266,0.00002270971,0.9952701,0.00169659,0.0006650955,0.00006672514,0.0007719118],"study_design_scores_gemma":[0.000006141165,0.00001187326,0.0002755366,0.000001027029,0.000001338811,0.000002349086,0.000005981087,0.9993944,0.0002031035,0.00005694751,0.00003977068,0.000001632004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9497059,0.0001344769,0.04011098,0.0001943649,0.00003844719,0.00008862012,0.0002187057,0.0002567705,0.009251758],"genre_scores_gemma":[0.991772,0.00004411524,0.005916089,0.00002166442,0.000006523477,0.00005485761,0.0001315523,0.00002304574,0.002030177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02283748,"threshold_uncertainty_score":0.04540914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06324631455890439,"score_gpt":0.381556649331647,"score_spread":0.3183103347727426,"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."}}