{"id":"W3150721898","doi":"","title":"High sampling-rate measurement of turbulence velocity fluctuations in Mach 1.8 Laval jet using interferometric Rayleigh scattering","year":2017,"lang":"en","type":"article","venue":"中国物理B：英文版","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Turbulence; Jet (fluid); Mach number; Rayleigh scattering; Interferometry; Physics; Sampling (signal processing); Mechanics; Optics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004907252,0.0002926144,0.0002283938,0.0005646739,0.000276224,0.0003811502,0.000370296,0.0003646115,0.0002901428],"category_scores_gemma":[0.0007260179,0.0002006377,0.0001330475,0.0003830533,0.0003930803,0.0004270367,0.0003045584,0.0003522769,0.00008997254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002519543,"about_ca_system_score_gemma":0.0002448899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00127496,"about_ca_topic_score_gemma":0.001523611,"domain_scores_codex":[0.9997672,0.00005682984,0.000007806905,0.00004371209,0.00009731601,0.00002695141],"domain_scores_gemma":[0.9997056,0.0001271757,0.00004011631,0.00003240737,0.00006555528,0.00002905693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005383983,0.0001465648,0.02069734,0.00003630009,0.0000337979,0.0001090116,0.0002716024,0.003009164,0.9489304,0.0009377877,0.0002803061,0.02500926],"study_design_scores_gemma":[0.0001985545,0.0008181773,0.1733421,0.00002097788,0.00009127057,0.0006689879,0.0002387703,0.2308182,0.5903807,0.001118904,0.002127709,0.0001755164],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818658,0.0001378353,0.0166472,0.00007864174,0.00001741572,0.00001821963,0.00007020477,0.0001578715,0.001006722],"genre_scores_gemma":[0.9865449,0.00005778871,0.01305145,0.00002110664,0.00002073829,0.00001001662,0.0000667613,0.00001357783,0.0002138122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00127496,"threshold_uncertainty_score":0.002595246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04199609841744269,"score_gpt":0.2557059700869586,"score_spread":0.2137098716695159,"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."}}