{"id":"W4319603149","doi":"10.37934/aram.101.1.118","title":"Numerical Simulation of Surface Pressure of a Wedge at Supersonic Mach Numbers and Application of Design of Experiments","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Research in Applied Mechanics","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Mach number; Wedge (geometry); Supersonic speed; Mach wave; Mechanics; Mach reflection; Angle of attack; Physics; Aerodynamics; Mathematics; Geometry","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":[0.0006951447,0.0004000011,0.0005209014,0.0003557357,0.0003762392,0.0006359059,0.0006256477,0.0008677788,0.001799522],"category_scores_gemma":[0.001281133,0.0002164582,0.0004293713,0.000321107,0.0004947839,0.0003429451,0.0004929136,0.0004966223,0.000149307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002872997,"about_ca_system_score_gemma":0.0005356776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001467315,"about_ca_topic_score_gemma":0.0006293029,"domain_scores_codex":[0.9996971,0.0000709481,0.00002096546,0.00004797641,0.0001088408,0.00005428037],"domain_scores_gemma":[0.9990392,0.0005453842,0.0001322134,0.00007720034,0.0001564104,0.00004966739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002548475,0.000206039,0.003043488,0.0001980942,0.00001750877,0.0002480363,0.0001432652,0.9582427,0.02486216,0.003053765,0.0002444971,0.009485697],"study_design_scores_gemma":[0.000021077,0.0002127941,0.0006628225,0.000009115178,0.000005825435,0.00001896273,0.00003861268,0.992116,0.006183675,0.0003533063,0.0003690016,0.000008712424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8029754,0.0003690797,0.1802943,0.0002019045,0.000113331,0.0002811571,0.0003681776,0.0003756185,0.01502109],"genre_scores_gemma":[0.9714452,0.0001503089,0.02672009,0.00001959811,0.000006442459,0.0002017014,0.00007996095,0.00002009782,0.001356693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001799522,"threshold_uncertainty_score":0.00602001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03329596223133329,"score_gpt":0.3360520709959484,"score_spread":0.3027561087646151,"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."}}