{"id":"W3013975339","doi":"10.1007/s40430-020-02275-9","title":"Numerical analysis of a microfluidic mixer and the effects of different cross-sections and various input angles on its mixing performance","year":2020,"lang":"en","type":"article","venue":"Journal of the Brazilian Society of Mechanical Sciences and Engineering","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Micromixer; Inlet; Mixing (physics); Mechanics; Diffusion; Materials science; Flow (mathematics); Microfluidics; Cross section (physics); Thermodynamics; Mechanical engineering; Physics; Engineering; Nanotechnology","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":[0.0003899078,0.0002623479,0.0003738438,0.0003865375,0.000525525,0.0006288535,0.0003317685,0.0006559239,0.001859983],"category_scores_gemma":[0.001040667,0.0002085848,0.0004043961,0.0003990775,0.0003802711,0.0003080037,0.0001930506,0.0003082525,0.0001785774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004808453,"about_ca_system_score_gemma":0.0005545098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001668868,"about_ca_topic_score_gemma":0.00109857,"domain_scores_codex":[0.9999088,0.00001597506,0.000006232061,0.00001534226,0.00003630929,0.00001731974],"domain_scores_gemma":[0.9994755,0.0003415367,0.00005272202,0.00002601967,0.00008287206,0.00002138703],"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":[0.0004385486,0.000208998,0.00347938,0.0002630033,0.00005556278,0.0001942776,0.0001217566,0.7704976,0.1971505,0.01088003,0.0005845447,0.01612588],"study_design_scores_gemma":[0.00002855766,0.0000622111,0.0008493244,0.000007386063,0.00001621275,0.00002990637,0.00001426773,0.9736083,0.02465799,0.000327311,0.0003853386,0.00001321357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8715765,0.0009126558,0.1090514,0.0006284722,0.0001536553,0.0000683235,0.0002916901,0.0004006679,0.01691674],"genre_scores_gemma":[0.9845286,0.0001658075,0.01367813,0.00003585196,0.00001326305,0.00004123148,0.0000832458,0.00002504429,0.001428805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001859983,"threshold_uncertainty_score":0.006222308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00735156905332925,"score_gpt":0.2094439871637436,"score_spread":0.2020924181104143,"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."}}