{"id":"W3106646452","doi":"10.1063/5.0027421","title":"Numerical simulations of gaseous cellular detonation interaction with bluff-body obstacles","year":2020,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Combustion and Detonation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Detonation; Finite volume method; Adaptive mesh refinement; Euler equations; Mechanics; Computation; Bluff; Shock (circulatory); Computer simulation; Godunov's scheme; Computer science; Computational fluid dynamics; Physics; Numerical analysis; Computational science; Algorithm; Chemistry; Mathematics; Mathematical analysis; Thermodynamics","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":[],"consensus_categories":[],"category_scores_codex":[0.00002985825,0.0001278779,0.0001468006,0.00008328264,0.00004511615,0.00005923203,0.0001025291,0.00005118822,0.0002640302],"category_scores_gemma":[0.0001015179,0.0001231569,0.00002547852,0.0003724439,0.00003107461,0.0004163875,0.00001373785,0.0001375521,0.00002276269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003195121,"about_ca_system_score_gemma":0.00003597983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005177993,"about_ca_topic_score_gemma":0.00000167976,"domain_scores_codex":[0.9992703,0.00000329173,0.0002297147,0.000164083,0.0002122774,0.0001203396],"domain_scores_gemma":[0.9992877,0.00004379361,0.0000776158,0.00004224708,0.000457697,0.00009092805],"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":[0.0004018279,0.0003622678,0.04688909,0.002166984,0.0002658921,0.00001116947,0.02036386,0.09752802,0.7782809,0.03062562,0.002574738,0.02052961],"study_design_scores_gemma":[0.0003134302,0.0001292992,0.001135803,0.00005537952,0.00002645287,0.000004634474,0.0006891681,0.9255676,0.06923239,0.0003589142,0.002292677,0.0001942044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6895329,0.00007125276,0.3024288,0.0008577824,0.00009456881,0.0002452768,0.00001017082,0.0006005957,0.006158699],"genre_scores_gemma":[0.9990486,0.00001622529,0.0007179674,0.00009948225,0.00004235611,0.00001156227,0.00001882571,0.0000197306,0.00002527331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8280396,"threshold_uncertainty_score":0.5022194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02247462429932201,"score_gpt":0.2319242680463381,"score_spread":0.2094496437470161,"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."}}