{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002138976,0.0003756034,0.0002167566,0.0002343828,0.0002418131,0.0004736357,0.0003070936,0.0002871187,0.000236173],"category_scores_gemma":[0.0004226038,0.0001666353,0.0001260182,0.0001689473,0.0004316173,0.0005274629,0.0002671846,0.0003032696,0.0002139341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002223072,"about_ca_system_score_gemma":0.0002634103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002116731,"about_ca_topic_score_gemma":0.0003119365,"domain_scores_codex":[0.9998578,0.00002287984,0.000009647238,0.00003433237,0.00006019114,0.00001512268],"domain_scores_gemma":[0.9997341,0.0001219419,0.00004490255,0.00001983567,0.00005585081,0.00002324388],"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":[0.00004051132,0.00001822471,0.0001403078,0.00004267743,0.000003858344,0.0000301882,0.00001905477,0.0009565168,0.9907266,0.0007535616,0.00005127796,0.00721717],"study_design_scores_gemma":[0.00002306644,0.0002283253,0.0006359527,0.000005439218,0.00001340364,0.0002185104,0.00001452591,0.02683629,0.9683663,0.0005931433,0.003047662,0.0000172811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5886851,0.00276396,0.4043167,0.0002021575,0.0001093521,0.0001147391,0.0000943198,0.0006103194,0.003103423],"genre_scores_gemma":[0.7612329,0.0008697843,0.2361279,0.00006540257,0.00003123464,0.00008699381,0.0001097173,0.00003767175,0.001438439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004736357,"threshold_uncertainty_score":0.001612961,"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."}}