{"id":"W2098678984","doi":"10.1098/rspa.2008.0371","title":"Numerical simulation of detonation structures using a thermodynamically consistent and fully conservative reactive flow model for multi-component computations","year":2009,"lang":"en","type":"article","venue":"Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences","topic":"Combustion and Detonation Processes","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Detonation; Finite volume method; Computation; Flow (mathematics); Component (thermodynamics); Mechanics; Computer simulation; Stability (learning theory); Applied mathematics; Thermodynamics; Computer science; Chemistry; Physics; Mathematics; Explosive material; Algorithm","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":[0.00009820503,0.0001050658,0.0001849542,0.00002211041,0.00009323334,0.00003154768,0.00009219127,0.00003564373,3.348973e-7],"category_scores_gemma":[0.0001095065,0.00007495139,0.00007805543,0.0001567715,0.000137755,0.0001315989,0.00002234511,0.00006720582,2.649071e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002115833,"about_ca_system_score_gemma":0.00001259232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.088939e-7,"about_ca_topic_score_gemma":2.290114e-8,"domain_scores_codex":[0.9994161,0.000001864165,0.000182739,0.0001228441,0.0001737093,0.0001027276],"domain_scores_gemma":[0.9995375,0.0001882051,0.00006671717,0.00002518428,0.0001433702,0.00003899078],"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":[0.000003477489,0.00004750965,0.000008861706,0.0002330061,0.00001786549,4.086091e-9,0.0012849,0.9623419,0.008171371,0.02761813,0.000002043099,0.0002708983],"study_design_scores_gemma":[0.0001677264,0.00003334264,0.001066119,0.00006371581,0.00002328784,6.58459e-7,0.0001092458,0.9620681,0.001694713,0.03468961,3.502232e-7,0.00008315328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.479282,0.00001938589,0.5204326,0.00007118467,0.000008475856,0.0001281053,0.000003740934,0.00003254471,0.00002199681],"genre_scores_gemma":[0.8903458,0.000001606744,0.109616,0.00001590118,0.000008058158,0.000005417533,3.623716e-7,0.000004600735,0.000002246763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4110638,"threshold_uncertainty_score":0.3056429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02933727414959315,"score_gpt":0.2667049635126651,"score_spread":0.237367689363072,"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."}}