{"id":"W3108630786","doi":"10.1021/acs.iecr.0c03641","title":"Experimental Analysis of the Mass Transfer Coefficient and Interfacial Area in an Aerated Coaxial Mixing System Comprising a Non-Newtonian Solution","year":2020,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Impeller; Bubble; Mass transfer; Mixing (physics); Carboxymethyl cellulose; Non-Newtonian fluid; Aeration; Coaxial; Mass transfer coefficient; Newtonian fluid; Mechanics; Chemistry; Materials science; Viscosity; Thermodynamics; Chromatography; Composite material; Mechanical engineering; 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":[0.0003928724,0.0001790372,0.0003386293,0.0001587405,0.00007782698,0.00008770768,0.0002562875,0.0002099385,0.00001059983],"category_scores_gemma":[0.00005082822,0.0001751143,0.00008049876,0.001342883,0.00006209977,0.00007673398,0.0000742482,0.0007336119,3.700038e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003260075,"about_ca_system_score_gemma":0.00004630452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009249652,"about_ca_topic_score_gemma":0.000006705888,"domain_scores_codex":[0.9985443,0.00004015386,0.0003794412,0.000269444,0.0003701063,0.0003965123],"domain_scores_gemma":[0.999522,0.00005942261,0.00001600875,0.0001832142,0.00006103686,0.0001582927],"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":[0.00002829582,0.00001190287,0.0003165771,0.00007140316,0.0000648077,0.000004856216,0.0005746586,0.3857126,0.6131545,0.000004191004,0.000004471156,0.00005165326],"study_design_scores_gemma":[0.0004462487,0.0000192664,0.0001154106,0.0001088196,0.00002326439,0.000001179036,0.0003787155,0.5991443,0.3996562,4.613705e-8,0.00001205757,0.00009449472],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928916,0.00008418228,0.006419103,0.00003205821,0.0001402762,0.0002284258,0.00003453667,0.00007893197,0.00009093205],"genre_scores_gemma":[0.999754,0.00000197013,0.00003200323,0.000001444467,0.0001385772,0.00001616703,0.00002287539,0.00002997932,0.000003002268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2134984,"threshold_uncertainty_score":0.7140956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06181669435117949,"score_gpt":0.2801895216650236,"score_spread":0.2183728273138441,"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."}}