{"id":"W2753622816","doi":"10.1016/j.ast.2017.08.034","title":"Optimization and analysis of hypersonic leading edge geometries","year":2017,"lang":"en","type":"article","venue":"Aerospace Science and Technology","topic":"Gas Dynamics and Kinetic Theory","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Western Canada Research Grid","keywords":"Leading edge; Hypersonic speed; Curvature; Enhanced Data Rates for GSM Evolution; Laminar flow; Numerical analysis; Mechanics; Aerospace engineering; Geometry; Mathematics; Computer science; Physics; Mathematical analysis; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004629109,0.00005938128,0.0001972531,0.0006956662,0.0003795644,0.00006769395,0.0002652962,0.00006717875,0.000005129875],"category_scores_gemma":[0.001237885,0.00005085879,0.00001485104,0.001056097,0.002012856,0.0001368544,0.0002042946,0.00005695679,3.074935e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001309707,"about_ca_system_score_gemma":0.00002724046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001217288,"about_ca_topic_score_gemma":0.0000302309,"domain_scores_codex":[0.9994444,0.000003306617,0.00008966812,0.000193164,0.0001180273,0.0001514808],"domain_scores_gemma":[0.9992618,0.0000556084,0.0001459305,0.0003750629,0.0001334425,0.00002816416],"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":[0.000003759158,0.00003450349,0.08947565,0.00003023593,0.000114008,0.000001964141,0.0004601359,0.0001041881,0.0206735,0.8790275,0.0000191877,0.01005538],"study_design_scores_gemma":[0.001803228,0.0008148606,0.08756243,0.0001668629,0.002353941,0.00006943468,0.007463055,0.3338675,0.05452457,0.5099995,0.0003077028,0.001066972],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928245,0.0001402094,0.005204299,0.001135423,0.00003253849,0.00005294739,0.000001862689,0.00002714616,0.0005811037],"genre_scores_gemma":[0.9878362,0.0001265398,0.01186429,0.000007277632,0.000002351914,0.000001973488,2.298185e-7,0.000003330825,0.0001577915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.369028,"threshold_uncertainty_score":0.7416452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02015987690983814,"score_gpt":0.3002427074528979,"score_spread":0.2800828305430598,"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."}}