{"id":"W4200078861","doi":"10.1002/admt.202101251","title":"Vertical Addressing of 1‐Plane Electrodes for Digital Microfluidics","year":2021,"lang":"en","type":"article","venue":"Advanced Materials Technologies","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Microfluidics; Digital microfluidics; Electrode; Multiplexing; Nanotechnology; Lithography; Computer science; Materials science; Plane (geometry); Optoelectronics; Electrowetting; Telecommunications; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002127167,0.0004112835,0.0002081433,0.0002936882,0.0001886333,0.0005415019,0.0005311572,0.0004656647,0.001402711],"category_scores_gemma":[0.0004942048,0.0002531986,0.0002052111,0.000259263,0.0002586359,0.0005054958,0.0005042347,0.0005159641,0.0007107771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003068975,"about_ca_system_score_gemma":0.0001867681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002361725,"about_ca_topic_score_gemma":0.0004891649,"domain_scores_codex":[0.9997883,0.00002440558,0.00001653337,0.00005100315,0.0000875873,0.00003204771],"domain_scores_gemma":[0.9997228,0.00009793303,0.00008323302,0.00003870056,0.00004238703,0.0000150139],"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":[0.00002436957,0.00001957343,0.0001831981,0.000171475,0.000005927659,0.00006686983,0.00002543137,0.00039419,0.9708039,0.002436636,0.000530235,0.02533822],"study_design_scores_gemma":[0.00000612743,0.00009378848,0.0003733822,0.00001329075,0.000006593311,0.0001664996,0.00001310839,0.002512994,0.978504,0.0004028499,0.01789936,0.000007829512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5049058,0.01482482,0.4498317,0.001856539,0.001657372,0.0003571321,0.000989516,0.001974326,0.02360286],"genre_scores_gemma":[0.7375969,0.004861354,0.2502975,0.0003886538,0.0001466053,0.0001653307,0.0004907692,0.00008097841,0.005971905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001402711,"threshold_uncertainty_score":0.004692495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009844994982391662,"score_gpt":0.2302229002361973,"score_spread":0.2203779052538057,"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."}}