{"id":"W2994274100","doi":"","title":"Spectral and wavelet analysis of an aero-acoustic feedback loop in a transonic outflow valve based on Schlieren imaging","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Schlieren; Harmonics; Aliasing; Acoustics; Wavelet; Outflow; Physics; Noise (video); Optics; Transonic; Shadowgraph; Computer science; Aerodynamics; Artificial intelligence; Computer vision; Filter (signal processing); Mechanics","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":[0.000172972,0.000311052,0.000233044,0.0002383482,0.0001790937,0.0003393731,0.0002925684,0.0006816779,0.0009802128],"category_scores_gemma":[0.0003986379,0.0001025789,0.0002135497,0.0001639151,0.0003756761,0.0003995326,0.0002428544,0.0003597725,0.00008360591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001403572,"about_ca_system_score_gemma":0.00013483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006828161,"about_ca_topic_score_gemma":0.0009049618,"domain_scores_codex":[0.9999374,0.0000139205,0.000002931692,0.00001263997,0.00002636066,0.000006659083],"domain_scores_gemma":[0.9997919,0.0001102661,0.00002415008,0.00001474033,0.00004045692,0.00001844451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009459496,0.0002586452,0.007400547,0.0002532353,0.00005844576,0.002527677,0.0006783294,0.1297958,0.7460287,0.006326127,0.001041951,0.1046846],"study_design_scores_gemma":[0.00001444073,0.0001808576,0.009466363,0.00001529525,0.00002584271,0.00041569,0.00009881237,0.9376646,0.05059446,0.0009809223,0.0005168949,0.00002593463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8156494,0.0001707749,0.1815669,0.0002535123,0.00004108349,0.00001958643,0.00006231932,0.0002405071,0.001995805],"genre_scores_gemma":[0.9785598,0.00009203471,0.01994164,0.00002335043,0.00001496068,0.000007454865,0.00002971267,0.00002815721,0.001303048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009802128,"threshold_uncertainty_score":0.00327909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720682634952746,"score_gpt":0.2637806174655139,"score_spread":0.2465737911159864,"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."}}