{"id":"W4366146803","doi":"10.11159/enfht23.145","title":"Fluid Flow Characterization of Gas Dispersion in a Yield-Pseudoplastic Biopolymer Using a Coaxial Mixer: Effect of Rotation Mode","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Momentum, Heat and Mass Transfer","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Coaxial; Dispersion (optics); Shear thinning; Materials science; Rotation (mathematics); Yield (engineering); Flow (mathematics); Mechanics; Composite material; Rheology; Optics; Mechanical engineering; Physics; Engineering; Mathematics; Geometry","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":[0.0004176704,0.0002645507,0.000219802,0.0003894369,0.0003245339,0.0004140919,0.0001986047,0.0002977265,0.000914043],"category_scores_gemma":[0.0005412594,0.0001333663,0.0001908709,0.0003116516,0.0003214988,0.0003648035,0.0001409792,0.0003457013,0.0001605212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002468463,"about_ca_system_score_gemma":0.0002119498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007748086,"about_ca_topic_score_gemma":0.0009177357,"domain_scores_codex":[0.9998533,0.00003999772,0.00001346285,0.00003703378,0.00003532363,0.00002094936],"domain_scores_gemma":[0.9995928,0.0002272043,0.00008620677,0.00001919637,0.00004989802,0.0000246455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003521546,0.00003402821,0.000433471,0.00001853041,0.000002085101,0.00002046866,0.00005312879,0.0001116598,0.996797,0.00004910345,0.0000131802,0.002115047],"study_design_scores_gemma":[0.00001167901,0.0002140099,0.002483812,0.000002184684,0.000007637961,0.00002058369,0.00002146952,0.001891138,0.9950924,0.000007302692,0.0002425966,0.00000522114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996073,0.0002578255,0.003092485,0.00003431306,0.00001210252,0.00001408769,0.00005956928,0.00004162887,0.000414932],"genre_scores_gemma":[0.9958184,0.0001625322,0.003195016,0.00001565364,0.00001024184,0.00001335663,0.00007697142,0.00001782885,0.0006899282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000914043,"threshold_uncertainty_score":0.003057778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007514251916065786,"score_gpt":0.2105298824780254,"score_spread":0.2030156305619596,"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."}}