{"id":"W2117481481","doi":"10.1109/newcas.2010.5603998","title":"Low-voltage dielectrophoretic platform for Lab-on-chip biosensing applications","year":2010,"lang":"en","type":"article","venue":"","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; CMC Microsystems","keywords":"Microchannel; Electrode; Voltage; Materials science; Lab-on-a-chip; Chip; Biosensor; Mixing (physics); Microfluidics; Nanotechnology; Dielectrophoresis; Optoelectronics; Electrical engineering; Physics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002488645,0.0005462405,0.0003902133,0.0003208187,0.000220489,0.0005596077,0.0009051579,0.0007602735,0.001333587],"category_scores_gemma":[0.0002767718,0.0002977412,0.0002227485,0.0001396323,0.000272515,0.0004573249,0.0003020678,0.0005100403,0.0009395781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000298907,"about_ca_system_score_gemma":0.0002475761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001760715,"about_ca_topic_score_gemma":0.0002889746,"domain_scores_codex":[0.9997726,0.00003878648,0.0000128213,0.00005235394,0.00009847512,0.00002497668],"domain_scores_gemma":[0.9998623,0.00004787491,0.00002082297,0.00001744703,0.00003309892,0.00001832937],"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":[0.00003806028,0.00002520931,0.0001213124,0.000132775,0.000008681972,0.00005766161,0.00001595095,0.0003392051,0.9849151,0.0006562365,0.0002320911,0.01345771],"study_design_scores_gemma":[0.00001694304,0.0003101313,0.000742694,0.00001070734,0.00002771881,0.0003659639,0.00001166504,0.008517989,0.9776379,0.000359647,0.01197672,0.00002202293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2553605,0.01199724,0.7232574,0.0007703275,0.0005150923,0.0003037897,0.0002806189,0.002682307,0.004832724],"genre_scores_gemma":[0.5161989,0.003223268,0.4729945,0.0005527872,0.0001718918,0.0002627776,0.0003486199,0.00007874042,0.006168454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001333587,"threshold_uncertainty_score":0.004461288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008825089659319697,"score_gpt":0.209983150559211,"score_spread":0.2011580608998913,"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."}}