{"id":"W2073291393","doi":"10.1117/1.jbo.17.6.067005","title":"On-chip digital microfluidic architectures for enhanced actuation and sensing","year":2012,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Microfluidics; Lab-on-a-chip; Microfluidic chip; Digital microfluidics; Computer science; Nanotechnology; Chip; Materials science; Optoelectronics; Telecommunications; Electrowetting","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001945176,0.00009682011,0.0001566631,0.0001584427,0.00003542976,0.00002951087,0.00006656135,0.0001084321,0.000001213654],"category_scores_gemma":[0.0004179813,0.0000744817,0.00005417076,0.00007946449,0.0000837587,0.00004374886,0.00001294879,0.0002252673,0.000001364198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003533925,"about_ca_system_score_gemma":0.00001607878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.031245e-7,"about_ca_topic_score_gemma":2.035436e-8,"domain_scores_codex":[0.9993294,0.000004706778,0.0002453811,0.00004740684,0.0001336085,0.0002394514],"domain_scores_gemma":[0.9994807,0.0002528972,0.00006615857,0.00005993862,0.00003620611,0.0001040998],"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":[0.00002757994,0.00002660115,0.00001003994,0.00003700779,0.00005127698,0.00000191109,0.0002152814,0.000005888577,0.7408527,0.00007864517,0.002509689,0.2561834],"study_design_scores_gemma":[0.0005513516,0.0004267806,0.00009567888,0.0001138014,0.00003538113,0.0002146227,0.0001156621,0.0002579477,0.9906537,0.002455857,0.004943499,0.0001357483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8704451,0.003284521,0.1254969,0.0002815908,0.0003063155,0.00004813232,0.000004954759,0.00006300632,0.00006946447],"genre_scores_gemma":[0.9933969,0.0003393188,0.005903785,0.00004893959,0.0002837568,4.168884e-7,0.000002099272,0.00001639445,0.000008415305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2560477,"threshold_uncertainty_score":0.3037276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007507263153440019,"score_gpt":0.2257469469186746,"score_spread":0.2182396837652345,"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."}}