{"id":"W2016335895","doi":"10.1016/j.ces.2005.11.032","title":"Numerical investigation of the mixing efficiency of the Ekato Paravisc impeller","year":2006,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Impeller; Mixing (physics); Mechanics; Agitator; Laminar flow; Reynolds number; Computational fluid dynamics; Ribbon; Newtonian fluid; Non-Newtonian fluid; Flow (mathematics); Materials science; Mixing patterns; Mechanical engineering; Physics; Turbulence; Engineering; Composite material","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":[0.000142183,0.00009736982,0.0001060772,0.00003807551,0.0000390252,0.00001267422,0.0005393086,0.00003953334,0.000002883508],"category_scores_gemma":[0.00008334695,0.00006187912,0.00006966,0.0008924041,0.0002619108,0.00006188062,0.00007471485,0.0001360726,0.000001173286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004849556,"about_ca_system_score_gemma":0.00003244657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001189182,"about_ca_topic_score_gemma":9.681378e-8,"domain_scores_codex":[0.9991121,0.000003396053,0.000222113,0.000129726,0.0003236017,0.0002090266],"domain_scores_gemma":[0.9995708,0.00003521905,0.00003404282,0.0002837415,0.00003763892,0.00003853605],"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":[1.91904e-7,0.000003603338,0.0007150791,0.00002329451,9.551792e-7,4.462965e-8,0.00002968445,0.4056755,0.5926836,0.0008142041,0.00002836044,0.00002555028],"study_design_scores_gemma":[0.00003737865,0.000001541491,0.005995152,0.00003170493,0.000002525036,0.000001014695,7.651182e-7,0.5510711,0.4427186,0.00007222534,0.00001864632,0.00004932311],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960001,0.0001127582,0.002933936,0.00004000226,0.0003839319,0.00007853091,0.000002077158,0.00004532301,0.0004033578],"genre_scores_gemma":[0.9992813,0.000001271225,0.0006529604,0.000006478484,0.00002792091,0.000003115573,4.233114e-7,0.0000103662,0.00001613811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.149965,"threshold_uncertainty_score":0.2523358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003377242568907089,"score_gpt":0.1675182028532626,"score_spread":0.1641409602843555,"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."}}