{"id":"W4391757468","doi":"10.32920/25209320.v1","title":"Investigation of Local and Overall Volumetric Mass Transfer Coefficient and Gas Holdup in Aerated Coaxial Mixing Systems Containing Non-Newtonian Fluids through Tomography and Computational Fluid Dynamics","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Impeller; Mechanics; Coaxial; Computational fluid dynamics; Mixing (physics); Non-Newtonian fluid; Newtonian fluid; Mass transfer; Rotational speed; Mass transfer coefficient; Aeration; Materials science; Dispersion (optics); Chemistry; Physics; Mechanical engineering; Engineering; Classical mechanics; Optics","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":[0.0003481747,0.0002630996,0.0002991548,0.0002760631,0.0001393702,0.0003093365,0.0002460824,0.0002794056,0.0002328198],"category_scores_gemma":[0.0009009509,0.0001110693,0.0001855252,0.0003588437,0.0003287582,0.0005970613,0.0001823436,0.0003053186,0.00006310481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002190248,"about_ca_system_score_gemma":0.0001692956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009784969,"about_ca_topic_score_gemma":0.000945333,"domain_scores_codex":[0.9998783,0.00001642525,0.000008714163,0.00002680066,0.00005641348,0.00001342002],"domain_scores_gemma":[0.9995085,0.0002604733,0.0001114582,0.00002603586,0.0000811734,0.00001241537],"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":[0.0001988395,0.00006732462,0.004301521,0.0001033081,0.00001264371,0.000115995,0.0001021714,0.0208524,0.9581746,0.0002733904,0.00003772905,0.01575992],"study_design_scores_gemma":[0.000006646306,0.0003450287,0.009531501,0.000005070081,0.00001967034,0.00007699522,0.00005475626,0.2340425,0.755478,0.00007198988,0.0003445823,0.00002336031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862905,0.0003620487,0.01288588,0.00002857925,0.000004779599,0.000009243263,0.00003716224,0.0000512904,0.0003305523],"genre_scores_gemma":[0.9943489,0.0002040594,0.005193929,0.000005040899,0.000002413935,0.000008967319,0.00004064355,0.000006451468,0.0001896267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009784969,"threshold_uncertainty_score":0.001945555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008821594766573099,"score_gpt":0.2006186194278428,"score_spread":0.1917970246612697,"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."}}