{"id":"W1608938017","doi":"10.1007/bfb0107112","title":"A directionally adaptive finite element method for hypersonic thermo-chemical nonequilibrium flows","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in physics","topic":"Gas Dynamics and Kinetic Theory","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Hypersonic speed; Solver; Finite element method; Convergence (economics); Orthogonality; Computer science; Flow (mathematics); Hypersonic flight; Non-equilibrium thermodynamics; Applied mathematics; Shock (circulatory); Mechanics; Mathematical optimization; Physics; Mathematics; Engineering; Geometry; Structural engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005111897,0.0006020627,0.0007711831,0.0001139096,0.00005253559,0.00002705733,0.0003016208,0.0005952556,0.0001091163],"category_scores_gemma":[0.0002776199,0.0005587444,0.0004703124,0.00007219613,0.00007081758,0.0000305511,0.000117123,0.0008234078,0.00001192324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002712931,"about_ca_system_score_gemma":0.0001211263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006808852,"about_ca_topic_score_gemma":0.00006708694,"domain_scores_codex":[0.9979709,0.00003898322,0.0005237317,0.0006121086,0.0003860097,0.0004682745],"domain_scores_gemma":[0.9949037,0.004019254,0.0003189823,0.0005045385,0.0001740109,0.00007949008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003468887,0.0001766391,0.000001589186,0.0002528803,0.0004519311,0.0000163399,0.0006521114,0.002816071,0.001892018,0.8967533,0.00008579361,0.09655449],"study_design_scores_gemma":[0.0005916895,0.0001356943,6.964316e-7,0.0002367696,0.0002120173,0.000006804413,0.000003433783,0.07225994,0.001202098,0.920015,0.004790807,0.0005450732],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001284941,0.0002638693,0.9537747,0.0001147881,0.0003636654,0.0009778438,0.0001763694,0.00008450072,0.04411579],"genre_scores_gemma":[0.02575723,0.00005768505,0.9577129,0.0007341626,0.003499502,0.0001990037,0.0002919554,0.000580764,0.0111668],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09600941,"threshold_uncertainty_score":0.9996864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04114387722075073,"score_gpt":0.3058337252684671,"score_spread":0.2646898480477163,"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."}}