{"id":"W2330527433","doi":"10.2514/6.2015-0589","title":"A General 3D Relation for Oblique Shocks on Swept Ramps","year":2015,"lang":"en","type":"article","venue":"53rd AIAA Aerospace Sciences Meeting","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Oblique case; Relation (database); Computer science; Database","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003502978,0.0006091168,0.0003151643,0.001096484,0.0006056568,0.001847586,0.0009097128,0.0008980463,0.008396827],"category_scores_gemma":[0.001246571,0.0004284165,0.0007292805,0.0006451667,0.0006766742,0.00148469,0.001495017,0.001375012,0.001674272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007112019,"about_ca_system_score_gemma":0.0006315199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002062837,"about_ca_topic_score_gemma":0.001399583,"domain_scores_codex":[0.9997405,0.00002838576,0.00001681431,0.00004322723,0.0001283481,0.00004270023],"domain_scores_gemma":[0.9997467,0.00006360905,0.00004984097,0.00003491194,0.00008260327,0.00002231466],"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":[0.00005027961,0.00005014768,0.002014392,0.0001415616,0.00001713899,0.0005754943,0.0003502887,0.293144,0.02781616,0.6354048,0.00375146,0.03668424],"study_design_scores_gemma":[0.00001308183,0.00003272801,0.0009134918,0.0000435403,0.000008425345,0.0002995221,0.0001194595,0.9198254,0.006019032,0.05778369,0.01490084,0.00004073852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02845537,0.000359262,0.9235839,0.000293258,0.0001514727,0.000104848,0.0004044869,0.0003441955,0.04630315],"genre_scores_gemma":[0.6768179,0.002043474,0.2761237,0.0006754614,0.0002486711,0.0003360179,0.0008894434,0.0006309866,0.04223444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008396827,"threshold_uncertainty_score":0.02809018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0241999112049281,"score_gpt":0.2601479244387722,"score_spread":0.2359480132338441,"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."}}