{"id":"W2060952403","doi":"10.1109/ims3tw.2011.42","title":"Electrodes Architectures for Dielectrophoretic-Based Cells Manipulation in LoCs: Modeling, Simulation and Experimental Results","year":2011,"lang":"en","type":"article","venue":"","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":3,"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":"Dielectrophoresis; Electrode; Capacitive sensing; Finite element method; Fabrication; Computer science; Square (algebra); Electrode array; Materials science; Nanotechnology; Optoelectronics; Engineering; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006660981,0.0001109417,0.00009439225,0.0001181653,0.00002752237,0.00001121576,0.00004614184,0.00008948849,0.000004298289],"category_scores_gemma":[0.00001464636,0.00009774791,0.00002105233,0.00006246234,0.00002476199,0.00001601946,0.000009517244,0.00006492406,7.636517e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003940141,"about_ca_system_score_gemma":0.000005243597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004963604,"about_ca_topic_score_gemma":0.0000231319,"domain_scores_codex":[0.9994305,0.000006838697,0.0001668913,0.0001524958,0.00004517526,0.000198049],"domain_scores_gemma":[0.9998242,0.00002849503,0.00001382208,0.0001034398,0.00001276362,0.00001728073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001839483,0.00002110976,0.00004975369,0.00001821773,0.000004780371,7.868557e-7,0.0002816476,0.4192125,0.5788209,0.0001624756,0.00006668057,0.001177115],"study_design_scores_gemma":[0.0002510559,0.00006972496,0.00003532857,0.000006073402,0.000002051464,3.087852e-7,0.00003000307,0.514414,0.4845559,0.000555886,0.00001166063,0.00006809168],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8372449,0.0004387922,0.1615325,0.000009820245,0.0000263415,0.0001951167,0.00000243551,0.0002938391,0.00025625],"genre_scores_gemma":[0.987882,0.00001365742,0.01203292,0.00001516267,0.00001395027,0.000009065931,0.000008774419,0.00001641014,0.000008096858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1506371,"threshold_uncertainty_score":0.3986044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03432459694928001,"score_gpt":0.2395089258255681,"score_spread":0.2051843288762881,"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."}}