{"id":"W4233691968","doi":"10.32920/ryerson.14663184","title":"Mixing time in yield stress fluids","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Impeller; Computational fluid dynamics; Mixing (physics); Mechanics; Rotational speed; Materials science; Mechanical engineering; Power consumption; Agitator; Rushton turbine; Turbine; Power (physics); Engineering; Physics; Thermodynamics","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":[0.00009803709,0.0002249261,0.0002969576,0.0001401344,0.0000137168,0.00007906492,0.0002072534,0.0002894891,0.0005242106],"category_scores_gemma":[0.00002257409,0.0002537076,0.00009370261,0.00009733847,0.000007868989,0.00004794326,0.0003724015,0.0005849408,0.00004278597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001092332,"about_ca_system_score_gemma":0.00003490317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002352805,"about_ca_topic_score_gemma":0.0004353642,"domain_scores_codex":[0.9990632,0.0000101423,0.0002696689,0.0002747949,0.0001151626,0.0002670489],"domain_scores_gemma":[0.9994975,0.00004646007,0.00001242928,0.0003683474,0.00002262457,0.0000526789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001947909,0.00004319406,0.001503721,0.0009046145,0.0001211494,0.0002149903,0.0006967138,0.9372109,0.05279373,0.0005615423,0.001545876,0.004401651],"study_design_scores_gemma":[0.00008222587,0.000003003743,0.0007832339,0.0007343722,0.000009605616,0.000002664202,0.00007433304,0.9934902,0.004196757,0.00009726608,0.0001418558,0.0003844958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8433634,0.002397189,0.02878255,0.00006126049,0.001669481,0.0002467988,0.00003587555,0.0006288778,0.1228146],"genre_scores_gemma":[0.9912631,0.0002983365,0.005562185,0.000041273,0.0001407111,0.00002739229,0.0001383899,0.00007950224,0.002449094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1478997,"threshold_uncertainty_score":0.9999915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008312273614953992,"score_gpt":0.19439712072947,"score_spread":0.186084847114516,"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."}}