{"id":"W2020509895","doi":"10.1115/imece2008-68831","title":"Multi-Step Dynamic Control for Enhanced Electrokinetic Transport Characteristics in Microchip Capillary Electrophoresis","year":2008,"lang":"en","type":"article","venue":"Volume 13: Nano-Manufacturing Technology; and Micro and Nano Systems, Parts A and B","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electrokinetic phenomena; Spark plug; Microfluidics; Electrophoresis; Diffusion; Materials science; Separation (statistics); Capillary electrophoresis; Sample (material); Capillary action; Computer science; Biological system; Chromatography; Chemistry; Nanotechnology; Mechanical engineering; Engineering","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":[0.0002858323,0.0004066566,0.0003292478,0.000174116,0.0002261198,0.0004360022,0.0008783462,0.0005154727,0.0004374307],"category_scores_gemma":[0.0005273495,0.000202303,0.0003164457,0.0001703603,0.0003871397,0.0004881072,0.0003141596,0.0004268314,0.000134292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000628989,"about_ca_system_score_gemma":0.0005278549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001589768,"about_ca_topic_score_gemma":0.001420626,"domain_scores_codex":[0.9998054,0.00002777106,0.000007491005,0.00003470849,0.0001073566,0.00001730169],"domain_scores_gemma":[0.9998565,0.00007582481,0.00002127907,0.00001348857,0.00002750751,0.000005381188],"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":[0.00008428318,0.0001255521,0.000559705,0.0002472365,0.00001813174,0.0002147785,0.0001613456,0.4074719,0.5405701,0.02059234,0.0005017154,0.02945297],"study_design_scores_gemma":[0.000006280071,0.00004109236,0.0001256309,0.000003305082,0.000003116341,0.00003334391,0.000004083498,0.9648998,0.03334079,0.0004504283,0.001083032,0.00000907141],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1230134,0.001075332,0.8703879,0.0001996651,0.00007131456,0.0001565923,0.000069407,0.0006548447,0.0043715],"genre_scores_gemma":[0.8234811,0.0008155818,0.171438,0.0000514644,0.00001174518,0.0002659132,0.00005247844,0.00004635581,0.003837297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001589768,"threshold_uncertainty_score":0.004563689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004681610717456087,"score_gpt":0.1831823439880223,"score_spread":0.1785007332705662,"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."}}