{"id":"W2909297241","doi":"10.21608/asat.2011.23296","title":"Numerical Solution of Inviscid Transonic Flow Using Hybrid Finite Volume-Finite Difference Solution Technique on Unstructured Grid","year":2011,"lang":"en","type":"article","venue":"International Conference on Aerospace Sciences and Aviation Technology","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Process Simulations Limited (Canada)","funders":"University of British Columbia","keywords":"Transonic; Inviscid flow; Finite volume method; Unstructured grid; Finite difference; Flow (mathematics); Grid; Mathematics; Finite difference method; Mechanics; Applied mathematics; Mathematical analysis; Physics; Geometry; Aerodynamics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000180333,0.0001958259,0.0002008437,0.0004673625,0.0001468677,0.00004414505,0.0003403715,0.0001346034,0.00005932389],"category_scores_gemma":[0.0000509507,0.0001897976,0.00005110049,0.0004024968,0.0003363509,0.0001562012,0.00004377458,0.0002472204,0.000005538534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001039101,"about_ca_system_score_gemma":0.00005751998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004606985,"about_ca_topic_score_gemma":0.0000221108,"domain_scores_codex":[0.998762,0.00002738332,0.0003121878,0.0003397324,0.0003307067,0.0002280578],"domain_scores_gemma":[0.9994696,0.0000458955,0.0001316686,0.0001348809,0.0001701694,0.00004774465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001241849,0.0002674338,0.009898319,0.00006267087,0.0001484765,0.00001224131,0.0005504014,0.254136,0.1910985,0.4870952,0.00005021689,0.05655634],"study_design_scores_gemma":[0.0002025325,0.0002697461,0.004828834,0.00008039922,0.000009688973,0.00001405819,0.00003294675,0.9663477,0.007579792,0.02043205,0.00001156541,0.0001907082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2936376,0.00002251163,0.704153,0.0006416407,0.0005432624,0.0001849982,0.00009407745,0.000157411,0.0005655022],"genre_scores_gemma":[0.9849585,0.0001193265,0.01476629,0.00003354004,0.00002860417,0.00002067237,0.00003400745,0.00001199323,0.00002712215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7122117,"threshold_uncertainty_score":0.773972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02892558833119465,"score_gpt":0.2474870513862374,"score_spread":0.2185614630550428,"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."}}