{"id":"W4301718286","doi":"10.1615/tsfp7.2290","title":"DROPLET TRANSPORT IN HIGH REYNOLDS NUMBER WAKE FLOW","year":2011,"lang":"en","type":"article","venue":"Proceeding of Seventh International Symposium on Turbulence and Shear Flow Phenomena","topic":"Particle Dynamics in Fluid Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Wake; Reynolds number; Mechanics; Turbulence; Physics; Range (aeronautics); Reynolds-averaged Navier–Stokes equations; Stokes number; Flow (mathematics); Classical mechanics; Materials science","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":[0.0002170517,0.0002052466,0.0002290152,0.0001193425,0.00003199464,0.00001660844,0.0002832968,0.0000762635,0.0002167901],"category_scores_gemma":[0.00000920076,0.0002146456,0.00004895981,0.0001668452,0.00006462252,0.0002850001,0.00003349824,0.0002129181,0.00003200541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001088387,"about_ca_system_score_gemma":0.00001204934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004324977,"about_ca_topic_score_gemma":0.000005160865,"domain_scores_codex":[0.998671,0.000005889055,0.0004240334,0.0002880907,0.0003240519,0.0002869407],"domain_scores_gemma":[0.9996471,0.00001956095,0.00004711549,0.0001238241,0.00007085114,0.00009148175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008055841,0.001701398,0.605436,0.001156292,0.0007407611,0.0001025078,0.03686925,0.247933,0.02995677,0.05115113,0.0006029099,0.02354444],"study_design_scores_gemma":[0.001090853,0.0001249213,0.0382534,0.0003978787,0.00002340266,0.00001791879,0.0001599608,0.9498676,0.005896829,0.003305689,0.0003782456,0.0004833067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777715,0.00004154718,0.0003758544,0.0001240578,0.0006315265,0.0001613224,0.0000457515,0.0000916967,0.02075679],"genre_scores_gemma":[0.9957671,0.000231168,0.003615452,0.00004462024,0.0001284176,0.00003972383,0.00001880143,0.00003612188,0.0001186434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7019346,"threshold_uncertainty_score":0.8752993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344003441944115,"score_gpt":0.2159521379846376,"score_spread":0.2025121035651965,"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."}}