{"id":"W2050973796","doi":"10.1002/elps.200900078","title":"Continuous particle separation based on electrical properties using alternating current dielectrophoresis","year":2009,"lang":"en","type":"article","venue":"Electrophoresis","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Dielectrophoresis; Current (fluid); Alternating current; Particle (ecology); Separation (statistics); Materials science; Analytical Chemistry (journal); Nanotechnology; Chromatography; Chemistry; Electrical engineering; Computer science; Voltage; Engineering; Microfluidics; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001240732,0.0002987202,0.0002938412,0.0001758218,0.000181024,0.0000951587,0.0002084374,0.000123968,0.00001372016],"category_scores_gemma":[0.00009528289,0.0002570879,0.0001056628,0.0005393183,0.00004562688,0.00007619415,0.00001308998,0.0003536215,0.00002135788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002992485,"about_ca_system_score_gemma":0.00004941967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001416676,"about_ca_topic_score_gemma":0.000002110662,"domain_scores_codex":[0.9983007,0.00005183703,0.0003210371,0.0003262079,0.0002960196,0.0007042065],"domain_scores_gemma":[0.9994589,0.00003669497,0.00005412901,0.0003143869,0.00006322979,0.00007265084],"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":[0.0000949164,0.0000835988,0.0002151665,0.00001139068,0.00001593691,0.00001191087,0.00002829054,0.002585117,0.9556921,0.0001833104,0.002184094,0.03889421],"study_design_scores_gemma":[0.0002116965,0.0003708928,0.0005015872,0.00004204845,0.00002473441,0.000006475516,0.000004809156,0.33805,0.6596077,0.0001484421,0.0007802791,0.0002513289],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834392,0.006607169,0.008051879,0.0002017438,0.0001235455,0.0002424414,0.000002085015,0.00105946,0.0002724765],"genre_scores_gemma":[0.9981247,0.0008317985,0.000719121,0.0001172656,0.0001340442,0.00001007822,0.000004971122,0.0000366794,0.00002139087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3354649,"threshold_uncertainty_score":0.9999881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792181957993366,"score_gpt":0.2459297615400235,"score_spread":0.2280079419600898,"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."}}