{"id":"W2062335289","doi":"10.1021/ie800496x","title":"Using Computational Fluid Dynamics To Study the Dynamic Behavior of the Continuous Mixing of Herschel−Bulkley Fluids","year":2008,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computational fluid dynamics; Impeller; Mechanics; Mixing (physics); Flow (mathematics); Herschel–Bulkley fluid; Materials science; Turbulence; Fluid dynamics; Fluent; Physics","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":[0.0009689394,0.0002353849,0.0003442983,0.0001151198,0.0002226732,0.00003255332,0.0007398456,0.0001956366,0.00002067313],"category_scores_gemma":[0.0003339869,0.0001937496,0.0001282791,0.0009707031,0.0001476117,0.00005826953,0.0003079251,0.0009325223,0.000001505717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003732611,"about_ca_system_score_gemma":0.0001612719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001131713,"about_ca_topic_score_gemma":0.000005698769,"domain_scores_codex":[0.9977257,0.00006060864,0.0005653987,0.0002511017,0.0008523204,0.0005448299],"domain_scores_gemma":[0.9987177,0.0003018224,0.0000502166,0.000530051,0.0002841678,0.0001160924],"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":[0.00001276955,0.00007614542,0.002155133,0.00003888348,0.00008235351,0.00001229811,0.0003533027,0.4707783,0.5259427,0.00001789308,0.00003716014,0.0004929635],"study_design_scores_gemma":[0.0008331924,0.00005825522,0.002255218,0.0001286196,0.00004324033,0.00005725985,0.0005969959,0.8998915,0.09584839,0.000006890682,0.00003830409,0.0002421471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970896,0.0001242518,0.001498111,0.00003447134,0.0003172515,0.0007000804,0.00005758012,0.00006765444,0.000111002],"genre_scores_gemma":[0.9993196,0.000006093143,0.0003523281,0.000001710426,0.0001310033,0.00004658155,0.00001050028,0.00006690332,0.00006524019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4300944,"threshold_uncertainty_score":0.790088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07710398644484233,"score_gpt":0.3214060528978592,"score_spread":0.2443020664530169,"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."}}