{"id":"W40778831","doi":"10.1007/3-540-69672-5_7","title":"Near-Wall Turbulence Control","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in physics","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Turbulence; Boundary layer; Drag; Mechanics; Flow control (data); Lagrangian coherent structures; K-epsilon turbulence model; Boundary (topology); Physics; Computer science; Mathematics; Telecommunications; Mathematical analysis","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":[0.0001202546,0.0005585587,0.0006296491,0.0002846175,0.0003552646,0.0009640869,0.0008065569,0.0004201166,0.004567158],"category_scores_gemma":[0.0001875285,0.0001680123,0.0002771814,0.0001948824,0.0004272537,0.0007187746,0.001026212,0.000755762,0.001403601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002188873,"about_ca_system_score_gemma":0.0001946202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003096189,"about_ca_topic_score_gemma":0.0003805836,"domain_scores_codex":[0.9998351,0.00001404718,0.000005359195,0.00003921508,0.00008296483,0.00002329478],"domain_scores_gemma":[0.9999331,0.00001002074,0.00000720785,0.00001906155,0.00001728051,0.00001340732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003332967,0.00025682,0.0002431899,0.000202792,0.00004447842,0.00013518,0.0001148674,0.1058202,0.196777,0.1628562,0.01471778,0.5184982],"study_design_scores_gemma":[0.0000328907,0.0002415849,0.0006649946,0.000054593,0.00002779407,0.0001370497,0.00003782138,0.8460969,0.06757766,0.0443545,0.04072161,0.00005264297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02813189,0.003235327,0.8804412,0.000217775,0.0009512977,0.00005331947,0.00008602039,0.001514563,0.08536847],"genre_scores_gemma":[0.7759423,0.002953312,0.07688867,0.00018691,0.0004316148,0.00009788709,0.0003606882,0.000299181,0.1428394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004567158,"threshold_uncertainty_score":0.01527864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009262048544529519,"score_gpt":0.2041682046634455,"score_spread":0.194906156118916,"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."}}