{"id":"W2437429599","doi":"10.1017/jfm.2018.244","title":"Dynamics of detonations with a constant mean flow divergence","year":2018,"lang":"en","type":"preprint","venue":"Journal of Fluid Mechanics","topic":"Combustion and Detonation Processes","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Detonation; Divergence (linguistics); Mechanics; Inviscid flow; Flow (mathematics); Physics; Steady state (chemistry); Thermodynamics; Chemistry; Explosive material; Physical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003171843,0.0001946231,0.0003767402,0.0003097455,0.00003937386,0.00003170316,0.0003357446,0.0001630547,0.0001829169],"category_scores_gemma":[0.0001020021,0.0001687406,0.0001262356,0.0002263952,0.00003153446,0.0001111845,0.0001108007,0.0004211233,0.000004354661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001957808,"about_ca_system_score_gemma":0.0003408922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001729566,"about_ca_topic_score_gemma":0.00006525782,"domain_scores_codex":[0.9985669,0.00002119249,0.0006544124,0.0001138374,0.0005126731,0.0001309428],"domain_scores_gemma":[0.997743,0.00005675997,0.0004116861,0.00022037,0.001462962,0.0001052036],"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":[0.0001616848,0.0002050744,0.00008436637,0.001452486,0.0008402877,0.00005771721,0.001300479,0.9320199,0.003533701,0.04873796,0.003729329,0.007877038],"study_design_scores_gemma":[0.0003745992,0.0001636288,0.00001406737,0.0005748399,0.0001579006,0.0001191539,0.0002104916,0.9728997,0.007566991,0.01720989,0.0004800229,0.0002287542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02607108,0.00085434,0.9699954,0.0001712559,0.001719044,0.0001381417,0.0001328501,0.00006685642,0.0008510342],"genre_scores_gemma":[0.9722875,0.001543473,0.0259109,0.00002826458,0.0001224082,0.000003511526,0.00001708641,0.00003789907,0.00004889629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9462165,"threshold_uncertainty_score":0.6881044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01200639627809266,"score_gpt":0.2241861230597471,"score_spread":0.2121797267816544,"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."}}