{"id":"W1898471926","doi":"10.3968/j.ans.1715787020100302.016","title":"A Biomimetic Smart Control of Viscous Drag Reduction","year":2010,"lang":"en","type":"article","venue":"Advances in natural science/Advances in natural sciences","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drag; Parasitic drag; Turbulence; Reduction (mathematics); Flow (mathematics); Flow control (data); Marine engineering; Drag coefficient; Mechanics; Materials science; Engineering; Aerospace engineering; Physics; Mathematics; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001449455,0.0003578493,0.0004723333,0.001010866,0.0002751599,0.000120809,0.001483781,0.0001182228,0.00002523483],"category_scores_gemma":[0.000366575,0.0002761808,0.0001009329,0.004963682,0.003319709,0.005239801,0.0001093047,0.0009320894,0.000006734214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001903616,"about_ca_system_score_gemma":0.0001552171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007697977,"about_ca_topic_score_gemma":0.001308531,"domain_scores_codex":[0.9963942,0.00003705565,0.0007221292,0.0007846924,0.001049178,0.001012731],"domain_scores_gemma":[0.9990029,0.0002267682,0.0001705505,0.0003388941,0.0001306388,0.0001302274],"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":[0.0000995973,0.0001362886,0.01606439,0.0001476003,0.000008780202,0.00002239863,0.0004039762,0.2876215,0.4054298,0.02800813,0.00001418141,0.2620434],"study_design_scores_gemma":[0.001637508,0.0002331312,0.01189142,0.0002402122,0.000012105,0.00008763771,0.0002659995,0.9392805,0.02108537,0.01822403,0.006017828,0.001024232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.923708,0.05722811,0.000144893,0.0001814469,0.01324972,0.0005064656,0.00001065725,0.0001346466,0.004836107],"genre_scores_gemma":[0.9914972,0.003279073,0.004991882,0.00003020535,0.0001258837,0.0000276612,0.000002650294,0.00001437413,0.00003109633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.651659,"threshold_uncertainty_score":0.9999691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002682293183783828,"score_gpt":0.2447431129591681,"score_spread":0.2420608197753843,"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."}}