{"id":"W2035399704","doi":"10.1115/imece2014-37571","title":"Analytical Models to Determine the Electric Field Characteristics of a Multi-Electrode Impedimetric Immunosensor in a Digital Microfluidic Device","year":2014,"lang":"en","type":"article","venue":"","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Public Health Agency of Canada; CMC Microsystems","keywords":"Microfluidics; Digital microfluidics; Lab-on-a-chip; Computer science; Finite element method; Electronic engineering; Electrode; Nanotechnology; Electrowetting; Materials science; Optoelectronics; Engineering; Chemistry","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":[0.0002043252,0.0002052108,0.0003272596,0.0004912097,0.00003171796,0.00004299059,0.0003805977,0.0001380094,0.000005329234],"category_scores_gemma":[0.0005174779,0.0001556632,0.00007599092,0.001309203,0.00001865103,0.00009362069,0.00006732744,0.0003357199,0.00001683232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000065794,"about_ca_system_score_gemma":0.00002128843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006515867,"about_ca_topic_score_gemma":0.000006597264,"domain_scores_codex":[0.9987224,0.00001631124,0.0004293612,0.000207912,0.0001182198,0.0005057659],"domain_scores_gemma":[0.9990765,0.0004012816,0.00003750858,0.0003790891,0.00005819983,0.00004736371],"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":[0.00002261204,0.00005689697,0.0009376949,0.00003902121,0.00003894115,0.000003436211,0.0001246232,0.00004489357,0.8477327,0.0003898412,0.001386934,0.1492224],"study_design_scores_gemma":[0.0003889378,0.0003256564,0.001209715,0.00003328585,0.00002677295,0.00002917681,0.00004487637,0.09153661,0.9048383,0.0001796741,0.001091581,0.0002953859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532667,0.00183492,0.04375134,0.0001680311,0.0000438342,0.0001945357,0.000003365731,0.0003177681,0.0004194917],"genre_scores_gemma":[0.9985345,0.00055619,0.0005786452,0.0001555357,0.00002726323,0.00001846238,0.000002658793,0.00003091507,0.00009585794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.148927,"threshold_uncertainty_score":0.6347762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143838211689988,"score_gpt":0.2224976451063983,"score_spread":0.2081138239373995,"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."}}