{"id":"W2913053615","doi":"10.29252/jafm.11.06.28283","title":"Optimization of an Active Electrokinetic Micromixer Based on the Number and Arrangement of Microelectrodes","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Fluid Mechanics","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Micromixer; Microelectrode; Mixing (physics); Electrode; Materials science; Vortex; Chaotic mixing; Electrokinetic phenomena; Electric field; Mechanics; Microfluidics; Analytical Chemistry (journal); Nanotechnology; Chemistry; Physics; Chromatography","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":[0.0003905852,0.0007907079,0.000466701,0.000360252,0.0002162008,0.0006645078,0.0007329694,0.0006059001,0.00064724],"category_scores_gemma":[0.0009793908,0.000382755,0.000265095,0.0004379817,0.0002645595,0.0007073868,0.0002947972,0.0003263935,0.0003304645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003449352,"about_ca_system_score_gemma":0.0003860279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002326986,"about_ca_topic_score_gemma":0.0005977528,"domain_scores_codex":[0.9996793,0.00004273322,0.00004069311,0.0001321748,0.00007491736,0.00003015957],"domain_scores_gemma":[0.9995022,0.0001280593,0.0002010724,0.00005397841,0.00008075908,0.0000338325],"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":[0.0001504087,0.00009983077,0.0005458818,0.0002733906,0.00002282526,0.00006654013,0.00003199513,0.00925343,0.9684463,0.0006814678,0.0001110216,0.02031689],"study_design_scores_gemma":[0.0001035297,0.001003913,0.002679121,0.0000295964,0.00009390597,0.0002376402,0.00005202852,0.04259697,0.9491041,0.0003719643,0.003691283,0.00003598749],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7941705,0.001994602,0.1983007,0.000226371,0.0001531846,0.0002159417,0.0001670305,0.00054973,0.004221886],"genre_scores_gemma":[0.7450435,0.0008171505,0.2528229,0.00004793915,0.00002179191,0.0001592787,0.00008979929,0.00003951781,0.0009581405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007907079,"threshold_uncertainty_score":0.00250268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004574124163462036,"score_gpt":0.1907881313831875,"score_spread":0.1862140072197255,"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."}}