{"id":"W2085847406","doi":"10.1002/elps.200500558","title":"Continuous separation of microparticles by size with Direct current‐dielectrophoresis","year":2005,"lang":"en","type":"article","venue":"Electrophoresis","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":189,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Dielectrophoresis; Electrokinetic phenomena; Electric field; Microchannel; Polydimethylsiloxane; Materials science; Particle (ecology); Direct current; Mechanics; Microfluidics; Particle size; Voltage; Current (fluid); Electrode; Dielectric; Polystyrene; Nanotechnology; Composite material; Optoelectronics; Physics; Chemistry; Polymer; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007721189,0.0002300567,0.0003154673,0.00008452856,0.00006140132,0.00002694039,0.0001755135,0.00009837769,0.00004325456],"category_scores_gemma":[0.00004020822,0.0001901865,0.00006417585,0.0004022888,0.0001148562,0.00007285642,0.00001933556,0.0001718794,0.00002024553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009253954,"about_ca_system_score_gemma":0.0000245697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001754287,"about_ca_topic_score_gemma":0.00001955793,"domain_scores_codex":[0.9988546,0.0000266356,0.0002743567,0.0002317136,0.0001716353,0.0004410981],"domain_scores_gemma":[0.9994766,0.00007015948,0.00006118674,0.0002774094,0.00006755097,0.00004711014],"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":[0.00006892984,0.00004844398,0.0003237443,0.00002266911,0.00005244565,0.000001785804,0.0000399296,0.0000328875,0.8992348,0.00004165796,0.07832517,0.02180753],"study_design_scores_gemma":[0.0002731368,0.0001975625,0.0003707857,0.00002498413,0.00004638991,0.00000927304,0.00001308986,0.00034903,0.9432951,0.0000326628,0.05515373,0.0002342637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645513,0.03292948,0.0008629068,0.0001496028,0.00004012093,0.0001573055,0.00001861543,0.0005721475,0.0007185619],"genre_scores_gemma":[0.9917728,0.00636618,0.00159764,0.00001864493,0.00005415505,0.00001286966,0.00000916084,0.00004039256,0.0001282057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04406027,"threshold_uncertainty_score":0.775558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002828750445853262,"score_gpt":0.1952203124970571,"score_spread":0.1923915620512038,"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."}}