{"id":"W2084283468","doi":"10.1002/cjce.20038","title":"Observations and analysis of electrokinetically driven particle trapping in planar microelectrode arrays","year":2008,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microelectrode; Microfluidics; Multielectrode array; Dielectrophoresis; Particle (ecology); Trapping; Planar; Materials science; Electrode; Nanotechnology; Fluidics; Polystyrene; Analytical Chemistry (journal); Optoelectronics; Chemistry; Polymer; Chromatography; Composite material","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001360616,0.0001798869,0.0002271382,0.0002247665,0.0001731151,0.000374079,0.0004503418,0.000458164,0.0004546296],"category_scores_gemma":[0.0003790899,0.0001770172,0.0001599963,0.0002499174,0.0003205922,0.0002174138,0.0002064589,0.0003041649,0.0001672234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003817627,"about_ca_system_score_gemma":0.0002014266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008533444,"about_ca_topic_score_gemma":0.0008346635,"domain_scores_codex":[0.9998611,0.00001017223,0.000006031819,0.00002916217,0.0000675382,0.00002582968],"domain_scores_gemma":[0.9997749,0.0001001254,0.00003895524,0.00002261771,0.00004157395,0.00002187518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002055902,0.000008406595,0.0001917108,0.00001614817,0.000004103119,0.00004588565,0.00002464884,0.0006433551,0.9979393,0.0001025975,0.00002050615,0.0009827927],"study_design_scores_gemma":[0.00001726959,0.0001165,0.003819796,0.000003389489,0.000009773637,0.0001215308,0.00005518507,0.01594914,0.9788998,0.0001343246,0.0008573923,0.00001580328],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806255,0.0002925145,0.0176231,0.00007391433,0.00001775134,0.00003246917,0.0002042479,0.0002037752,0.0009267314],"genre_scores_gemma":[0.9808111,0.0003245663,0.01776897,0.00003928273,0.000007536956,0.00005279686,0.0001668501,0.00001629523,0.0008127521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008533444,"threshold_uncertainty_score":0.002769947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328445344327586,"score_gpt":0.1690858733749949,"score_spread":0.1558014199317191,"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."}}