{"id":"W2081974605","doi":"10.1080/10618560701214724","title":"Feedback-controlled forcing in hybrid LES/RANS","year":2006,"lang":"en","type":"article","venue":"International journal of computational fluid dynamics","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Defence Research and Development Canada","keywords":"Reynolds-averaged Navier–Stokes equations; Forcing (mathematics); Reynolds number; Boundary layer; Large eddy simulation; Amplitude; Computer science; Boundary (topology); Work (physics); Mechanics; Applied mathematics; Computational fluid dynamics; Mathematics; Physics; Mechanical engineering; Mathematical analysis; Turbulence; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001335923,0.0005263251,0.0005406832,0.0003541578,0.0003309472,0.000649057,0.0009334858,0.0007851458,0.001059924],"category_scores_gemma":[0.00346703,0.000380368,0.0002656598,0.0001913844,0.0007247895,0.0008079577,0.001049421,0.0004649446,0.000289363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003822042,"about_ca_system_score_gemma":0.0003548647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002642193,"about_ca_topic_score_gemma":0.00212931,"domain_scores_codex":[0.9994637,0.0002163287,0.00003564955,0.00006027384,0.0001887833,0.00003530071],"domain_scores_gemma":[0.9983032,0.001022796,0.0001613208,0.0001749815,0.0002837112,0.00005397817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000510562,0.0001509082,0.001867499,0.00008577162,0.0000373623,0.0001893945,0.0001346273,0.8960187,0.035427,0.005577781,0.0006381989,0.05936222],"study_design_scores_gemma":[0.00001240629,0.00001790825,0.0000579373,0.000001664751,0.00000115598,0.000004303463,0.000002492773,0.997148,0.002395103,0.0002648219,0.00009079142,0.000003448028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2421151,0.0001335528,0.7522519,0.0001594959,0.00009044135,0.00009888493,0.00007599506,0.00235945,0.002715187],"genre_scores_gemma":[0.8893537,0.00002604039,0.1093531,0.00004200399,0.00002018334,0.00007078856,0.0000455521,0.0001071986,0.0009814629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002642193,"threshold_uncertainty_score":0.007065117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003579708766167138,"score_gpt":0.2024711176926583,"score_spread":0.1988914089264911,"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."}}