{"id":"W2033606624","doi":"10.1109/tia.2010.2074170","title":"Numerical Models for AC Electroosmotic Micropumps","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Microchannel; Mechanics; Poisson's equation; Electric field; Finite element method; Dielectric; Debye length; Momentum (technical analysis); Debye; Electric potential; Materials science; Physics; Electronic engineering; Thermodynamics; Ion; Electrical engineering; Engineering; Voltage; Condensed matter physics; Optoelectronics","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":[0.0005940078,0.0007800745,0.0007348217,0.000808684,0.0006771581,0.001250672,0.001550235,0.002724285,0.00315822],"category_scores_gemma":[0.00272495,0.0003966994,0.0007939916,0.0007573225,0.0009192085,0.001093898,0.0009640813,0.0008829112,0.0007231978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010228,"about_ca_system_score_gemma":0.0009680613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005304141,"about_ca_topic_score_gemma":0.001982167,"domain_scores_codex":[0.9996469,0.00007587199,0.00002842379,0.00005899012,0.0001529818,0.00003677726],"domain_scores_gemma":[0.9990292,0.0004787089,0.0001054327,0.0000565178,0.0002839814,0.00004622448],"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":[0.00002624761,0.00003183886,0.0002876688,0.0001005452,0.0000120257,0.00012049,0.00009808629,0.9506008,0.006594302,0.03630281,0.000550631,0.005274426],"study_design_scores_gemma":[0.000004421574,0.000005749373,0.00002738351,0.000004191951,0.000001970613,0.00001800488,0.000007325981,0.9967541,0.0003901258,0.001857234,0.0009254401,0.000003983253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03154673,0.001294861,0.9462343,0.0006321865,0.0002497611,0.000139923,0.0002692148,0.0003975827,0.0192354],"genre_scores_gemma":[0.633814,0.002739599,0.3105382,0.0005359351,0.000246671,0.001367121,0.0007215989,0.0003155357,0.0497213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005304141,"threshold_uncertainty_score":0.01056528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153450419950282,"score_gpt":0.2306390967610985,"score_spread":0.2152940547660703,"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."}}