{"id":"W2025353490","doi":"10.2514/6.2007-56","title":"Sonic Boom Reduction via Remote Inverse Adjoint Approach","year":2007,"lang":"en","type":"article","venue":"45th AIAA Aerospace Sciences Meeting and Exhibit","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Reduction (mathematics); Sonic boom; Boom; Inverse; Inverse problem; Computer science; Aerospace engineering; Mathematics; Environmental science; Engineering; Mathematical analysis; Geometry; Supersonic speed","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":[],"consensus_categories":[],"category_scores_codex":[0.001269011,0.0001820765,0.0001692559,0.0001334404,0.0003595682,0.0001218007,0.0001432702,0.0000786161,0.000003885513],"category_scores_gemma":[0.00003717628,0.0001765878,0.00005321989,0.0005109371,0.000203515,0.000187497,0.00006156586,0.0001905646,0.00001197058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008675084,"about_ca_system_score_gemma":0.00003310188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001431181,"about_ca_topic_score_gemma":0.00009387952,"domain_scores_codex":[0.9985875,0.00001793136,0.000247957,0.0003688581,0.0003220871,0.0004556058],"domain_scores_gemma":[0.9995629,0.00005149049,0.00005160516,0.0001352665,0.00004668768,0.0001520698],"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":[0.00001346548,0.00003026964,0.001009679,0.0001028785,0.00002223875,0.000005906224,0.001228139,0.9359602,0.03411783,0.0033731,0.0004753816,0.02366087],"study_design_scores_gemma":[0.0001622175,0.00004307728,0.001259206,0.00005004267,0.000009136688,0.00005404962,0.0005646213,0.9962152,0.0004568052,0.0007231179,0.0002248149,0.000237699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8938835,0.0004179894,0.09056336,0.0001346045,0.0005554008,0.0001217191,0.000002172791,0.0002549165,0.01406631],"genre_scores_gemma":[0.9556627,0.0001081787,0.04376759,0.00003663629,0.000162815,0.000001160014,0.000007900238,0.00001979001,0.0002332225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06177918,"threshold_uncertainty_score":0.7201042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009336913092415154,"score_gpt":0.2183869301608382,"score_spread":0.209050017068423,"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."}}