{"id":"W2538176924","doi":"10.1017/jfm.2016.621","title":"Flow dynamics and enhanced mixing in a converging–diverging channel","year":2016,"lang":"en","type":"article","venue":"Journal of Fluid Mechanics","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Vortex; Instability; Mechanics; Reynolds number; Physics; Amplitude; Lift (data mining); Wavelength; Flow (mathematics); Mixing (physics); Open-channel flow; Classical mechanics; Optics; Turbulence","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":[0.0001135953,0.0002250322,0.0002423001,0.0004584927,0.0003713332,0.0004158066,0.0001535707,0.0001841707,0.0003634019],"category_scores_gemma":[0.0002166044,0.0001247402,0.000203394,0.0003296329,0.0004951778,0.0001517366,0.0001783289,0.0001990982,0.00004092973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004084728,"about_ca_system_score_gemma":0.0003717593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003596598,"about_ca_topic_score_gemma":0.001597522,"domain_scores_codex":[0.9999521,0.000007497594,0.000002114152,0.00000902,0.00001127471,0.00001792305],"domain_scores_gemma":[0.9999049,0.00002319191,0.00002759737,0.000006584917,0.00001626597,0.00002147152],"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":[0.0004745855,0.0002284951,0.02670716,0.00007289508,0.00003234126,0.0007857809,0.0004508433,0.2949976,0.6571357,0.006741635,0.0001263688,0.01224663],"study_design_scores_gemma":[0.00003680541,0.0004529741,0.05264715,0.000007695367,0.00003022188,0.000260339,0.0001600371,0.8411678,0.1028927,0.001719569,0.0005710854,0.00005363886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984149,0.00001009024,0.001323669,0.000003501366,5.705426e-7,0.000002734525,0.000009076829,0.00001271848,0.0002227332],"genre_scores_gemma":[0.9984346,0.00001197388,0.001384767,0.000001515235,6.372113e-7,0.00000261665,0.00001825418,0.000002227637,0.000143478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003596598,"threshold_uncertainty_score":0.007151365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004638390460867966,"score_gpt":0.18203044523104,"score_spread":0.177392054770172,"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."}}