{"id":"W4300434991","doi":"","title":"PREDICTING THE VIBRATION RESPONSE OF PANELS UNDER A TURBULENT BOUNDARY LAYER EXCITATION FROM THEIR MEASURED SENSITIVITY FUNCTIONS","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Sensitivity (control systems); Boundary layer; Excitation; Vibration; Turbulence; Acoustics; Boundary (topology); Materials science; Structural engineering; Physics; Mechanics; Engineering; Electronic engineering; Mathematics; Mathematical analysis; Electrical 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":[0.003508683,0.000295465,0.000311189,0.0001755538,0.0002930549,0.0002385744,0.0003315358,0.0002472046,0.0000909469],"category_scores_gemma":[0.0007873405,0.0002546604,0.0002191895,0.0003681599,0.0001915252,0.0001520943,0.0001960545,0.0004799867,0.00001240779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001530258,"about_ca_system_score_gemma":0.0001399398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009223829,"about_ca_topic_score_gemma":0.0008359056,"domain_scores_codex":[0.9951282,0.003403038,0.0005091453,0.0003916912,0.0003679548,0.0002000279],"domain_scores_gemma":[0.9951639,0.00203352,0.0002745259,0.001238812,0.001205776,0.00008345939],"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":[0.0002174802,0.0002407721,0.001604296,0.0003718353,0.001855497,0.000004171514,0.05722856,0.5332116,0.3789954,0.002880748,0.001686703,0.02170282],"study_design_scores_gemma":[0.0002368507,5.499131e-7,0.04986748,0.0005758075,0.0001244238,0.000005004732,0.0007230828,0.8375761,0.1083732,0.001742973,0.0004745871,0.0002999576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5027665,0.0002595801,0.4943376,0.001479023,0.000229893,0.000166872,0.0001002639,0.0002676384,0.0003925879],"genre_scores_gemma":[0.9943696,0.00008256861,0.004533745,0.00003783241,0.00005895293,0.00003894281,0.0005422015,0.00004754587,0.0002886501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.491603,"threshold_uncertainty_score":0.9999906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02046796848851622,"score_gpt":0.2162570297878726,"score_spread":0.1957890612993564,"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."}}