{"id":"W3000339833","doi":"10.1088/1361-6439/ab6c71","title":"Utilizing a coil to realize 3D electrodes for dielectrophoresis-based particle concentration","year":2020,"lang":"en","type":"article","venue":"Journal of Micromechanics and Microengineering","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dielectrophoresis; Electric field; Materials science; Polystyrene; Electromagnetic coil; Electrode; Particle (ecology); Polydimethylsiloxane; Composite material; Voltage; Acrylonitrile butadiene styrene; Optoelectronics; Nanotechnology; Microfluidics; Electrical engineering; Chemistry; Engineering; Polymer","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":[0.0001384559,0.0003613266,0.0002049829,0.0002218477,0.0001309741,0.0003560256,0.0003254067,0.0004051443,0.0006711864],"category_scores_gemma":[0.0002116925,0.0002450417,0.0002509285,0.0001439845,0.0002936835,0.0003531045,0.0003516529,0.0002821567,0.0005249893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002247174,"about_ca_system_score_gemma":0.0001791275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001356929,"about_ca_topic_score_gemma":0.0002352603,"domain_scores_codex":[0.9998728,0.0000125915,0.000009898456,0.00003193335,0.000051771,0.00002107938],"domain_scores_gemma":[0.99984,0.00004490337,0.00003934789,0.00003235475,0.00003194717,0.00001147185],"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":[0.00002084557,0.00001177086,0.0001695608,0.0001304437,0.000009308562,0.0001041697,0.00004133635,0.002716042,0.9831818,0.00166616,0.0003031591,0.01164552],"study_design_scores_gemma":[0.000008256959,0.00008968868,0.0004287062,0.000007997593,0.000009211374,0.0001646581,0.00001245987,0.01399961,0.9731588,0.0003547294,0.01174989,0.00001609872],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3580335,0.002588856,0.6248423,0.0004337711,0.0005756484,0.0001707374,0.0003096344,0.001805363,0.01124008],"genre_scores_gemma":[0.7518005,0.001083986,0.2425116,0.0001932324,0.00005830321,0.0001443723,0.000170021,0.00009190946,0.003946063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006711864,"threshold_uncertainty_score":0.002245307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345172650570438,"score_gpt":0.2008304119534212,"score_spread":0.1873786854477168,"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."}}