{"id":"W2951415631","doi":"10.1108/hff-09-2018-0498","title":"A finite element solver for hypersonic flows in thermo-chemical non-equilibrium, Part I","year":2019,"lang":"en","type":"article","venue":"International Journal of Numerical Methods for Heat &amp Fluid Flow","topic":"Gas Dynamics and Kinetic Theory","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ansys (Canada); McGill University","funders":"","keywords":"Solver; Hypersonic speed; Finite element method; Discretization; Computer science; Hypersonic flight; Computational fluid dynamics; Applied mathematics; Robustness (evolution); Mechanics; Mathematical optimization; Mathematics; Physics; Thermodynamics; Mathematical analysis","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":[0.002267146,0.0002410541,0.0006228212,0.000207837,0.00002166052,0.00005292353,0.0006068386,0.0001386725,0.0002960735],"category_scores_gemma":[0.001554248,0.000198214,0.0005629314,0.0001107867,0.00003489254,0.0001273081,0.0000943653,0.0002885796,0.00001175758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002401521,"about_ca_system_score_gemma":0.00010914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004600183,"about_ca_topic_score_gemma":0.000001101925,"domain_scores_codex":[0.9977372,0.000168633,0.001019088,0.0002701015,0.0004249989,0.0003799296],"domain_scores_gemma":[0.9954109,0.003507286,0.0002378882,0.0002397608,0.000458029,0.0001461738],"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":[0.008157344,0.00366641,0.001715719,0.0005714145,0.002698593,0.00004633221,0.003204759,0.01588855,0.6372792,0.03334606,0.00743037,0.2859953],"study_design_scores_gemma":[0.005431782,0.000684695,0.00008103772,0.0003302264,0.0001182519,0.0001215436,0.0001098314,0.7665318,0.004547016,0.1782476,0.04337683,0.0004194118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1632321,0.000118275,0.8328291,0.001095899,0.001961225,0.0005402989,0.00004143841,0.00001211793,0.0001695469],"genre_scores_gemma":[0.1054707,0.0000259465,0.8931158,0.0003493954,0.0006460866,0.00006150746,0.0000164709,0.0000584702,0.0002556103],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7506432,"threshold_uncertainty_score":0.808293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04053862402679914,"score_gpt":0.3826072592207998,"score_spread":0.3420686351940007,"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."}}