{"id":"W4383342788","doi":"10.1063/5.0155777","title":"Development of a scale-up strategy for an aerated coaxial mixer containing a non-Newtonian fluid: A mass transfer approach","year":2023,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"RES’EAU-WaterNET","keywords":"Impeller; Coaxial; Mechanics; Physics; Mass transfer; Aeration; Mass transfer coefficient; Newtonian fluid; Mixing (physics); Non-Newtonian fluid; Computational fluid dynamics; Dispersion (optics); Thermodynamics; Mechanical engineering; Optics; Engineering; Waste management","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000248727,0.0002314974,0.000411844,0.0001034558,0.00006983342,0.00002624643,0.0002029761,0.00009815285,0.00000313398],"category_scores_gemma":[0.000004140793,0.0002488943,0.0001147599,0.000389018,0.00004384099,0.0001639702,0.0000190255,0.0001046559,0.000003631261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000044183,"about_ca_system_score_gemma":0.000116424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002232884,"about_ca_topic_score_gemma":0.00001586208,"domain_scores_codex":[0.9986892,0.00001245034,0.0004682656,0.0002371949,0.0002099358,0.0003829466],"domain_scores_gemma":[0.9994983,0.00003543444,0.00002192946,0.0002181149,0.0001326545,0.00009358337],"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":[0.00006825008,0.00006171236,0.00004316443,0.0004419287,0.0001330399,5.975511e-7,0.004912205,0.04847287,0.9346824,0.002001354,0.0000689543,0.009113544],"study_design_scores_gemma":[0.001105523,0.0001354238,0.0002406643,0.00006577902,0.00003321012,5.510352e-7,0.0007294854,0.8655499,0.1314114,0.0003498323,0.0001031205,0.000275093],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5696488,0.00002187474,0.429192,0.00000235998,0.0001226771,0.0002863796,0.00006046247,0.0001100573,0.000555361],"genre_scores_gemma":[0.9732416,0.00001040409,0.02618476,0.000005627462,0.00008367479,0.0001080707,0.0002500531,0.00007628476,0.00003954573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8170771,"threshold_uncertainty_score":0.9999963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0320357261553172,"score_gpt":0.2516431889284269,"score_spread":0.2196074627731097,"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."}}