{"id":"W1973669695","doi":"10.1016/j.cherd.2013.02.027","title":"Using tomography to assess the efficiency of the coaxial mixers in agitation of yield-pseudoplastic fluids","year":2013,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coaxial; Shear thinning; Impeller; Mixing (physics); Mechanics; Laminar flow; Newtonian fluid; Non-Newtonian fluid; Materials science; Power consumption; Yield (engineering); Rheology; Power (physics); Engineering; Mechanical engineering; Composite material; Physics; Thermodynamics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009758931,0.00007048086,0.00007563691,0.00005048539,0.00006780584,0.00000826957,0.00006201016,0.00003745006,0.000007479768],"category_scores_gemma":[0.00001778321,0.00004964657,0.00002403247,0.0001763229,0.00005636469,0.0001076663,0.00002376872,0.00008758009,6.42869e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000347041,"about_ca_system_score_gemma":0.000003619342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001055775,"about_ca_topic_score_gemma":0.00001279184,"domain_scores_codex":[0.9995332,0.00001289715,0.0001718023,0.00008391963,0.0001069805,0.00009121204],"domain_scores_gemma":[0.999856,0.00002121823,0.00003266987,0.00006724735,0.000006496728,0.00001635584],"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":[0.00002022683,0.00002717453,0.002605725,0.0001439129,0.000007903653,4.944427e-8,0.0008701317,0.5473077,0.4465208,0.00001989584,5.651971e-7,0.002475898],"study_design_scores_gemma":[0.000216618,0.00006514118,0.05404561,0.0001264537,0.00001369611,0.000004918422,0.00109793,0.9017231,0.04234944,0.0002350113,0.000007314297,0.0001147543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8730382,0.00005815257,0.1262652,0.00002624402,0.00008250948,0.0004446304,0.000004551105,0.000007930061,0.00007255228],"genre_scores_gemma":[0.9998307,0.00002246042,0.00008509241,0.000008289188,0.000008666628,0.00003311944,0.000001154111,0.000008014227,0.000002488539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4041713,"threshold_uncertainty_score":0.2024528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317513856848161,"score_gpt":0.1938739659051542,"score_spread":0.1806988273366726,"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."}}