{"id":"W4293115898","doi":"10.11159/htff22.137","title":"Numerical Simulation through Fluent Of a Cold, Swirling Particle Flow in a Combustion Chamber","year":2022,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Combustor; Mechanics; Turbulence; Anemometer; Fluent; Combustion chamber; Combustion; Flow (mathematics); Materials science; Turbulence modeling; Viscosity; Airflow; Large eddy simulation; Computer simulation; Physics; Thermodynamics; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001645492,0.0001540065,0.0002694826,0.00006816747,0.0000446579,0.00002479308,0.0001454394,0.00004562041,0.00004105753],"category_scores_gemma":[0.00005546023,0.0001475871,0.00005803532,0.0003481352,0.00002563531,0.0000918779,0.0001411226,0.0002202774,3.17263e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008417475,"about_ca_system_score_gemma":0.000005067954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005799153,"about_ca_topic_score_gemma":7.187578e-7,"domain_scores_codex":[0.9990287,0.000005948176,0.0003762078,0.0001710302,0.0002187611,0.0001993957],"domain_scores_gemma":[0.999683,0.00006038175,0.00007978459,0.00009212267,0.00004148268,0.00004328138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006340793,0.00004283575,0.00002111563,0.0001587165,0.00001166843,3.392077e-7,0.00002498125,0.4758044,0.5194137,0.004340632,0.00002455831,0.00009358446],"study_design_scores_gemma":[0.0003145671,0.00001982152,0.00001047778,0.00007892469,0.000010211,0.000001582804,0.00002750534,0.5425504,0.4565315,0.0000664707,0.0002976081,0.00009087988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988033,0.00001092468,0.00006480455,0.00006196975,0.0006716389,0.0002190153,0.00001554078,0.00009874635,0.00005411271],"genre_scores_gemma":[0.9990532,0.00001436025,0.0007586169,0.00002150656,0.00004411232,0.00005132511,0.000002896639,0.00003043875,0.00002354897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06674601,"threshold_uncertainty_score":0.6018429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007414608314383725,"score_gpt":0.2065033830346831,"score_spread":0.1990887747202994,"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."}}