{"id":"W2026784706","doi":"10.1039/b803827a","title":"Water-oil core-shell droplets for electrowetting-based digital microfluidic devices","year":2008,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université Laval; National Research Council Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrowetting; Digital microfluidics; Microfluidics; Fluidics; Flexibility (engineering); Nanotechnology; Oil droplet; Materials science; Optoelectronics; Engineering; Dielectric; Electrical engineering; Chemical engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009829977,0.0003070082,0.0002695775,0.0001637902,0.000191912,0.00005531911,0.0003121242,0.0001768714,0.00001502226],"category_scores_gemma":[0.00006349678,0.0002535658,0.0001310207,0.0001687157,0.00008125864,0.0000898279,0.00002532065,0.000274866,0.0001388229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009287152,"about_ca_system_score_gemma":0.00003458664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005390496,"about_ca_topic_score_gemma":0.000002929734,"domain_scores_codex":[0.9985061,0.000008449869,0.000263393,0.0003213437,0.0001407379,0.0007599689],"domain_scores_gemma":[0.999415,0.0000939312,0.00003241129,0.0003492868,0.00004164057,0.00006766357],"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":[0.00004906117,0.00006983172,0.0006423463,0.000139226,0.00004938715,0.00002579511,0.0001442968,0.00003708206,0.962343,0.0001928727,0.02460472,0.01170243],"study_design_scores_gemma":[0.0006710797,0.000255083,0.00008966107,0.00005589597,0.00001270429,0.00003725986,0.00001542375,0.0002806587,0.8876986,0.0001189163,0.1104348,0.0003299412],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898618,0.003989083,0.001213325,0.0003051798,0.0001740094,0.0001556487,0.00003564626,0.002355499,0.001909754],"genre_scores_gemma":[0.9978341,0.0003279102,0.0003134898,0.0004029291,0.0001023918,0.00006811306,0.00009848961,0.00009004253,0.0007624872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08583006,"threshold_uncertainty_score":0.9999917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139482520518794,"score_gpt":0.2075077151948862,"score_spread":0.1935594631430068,"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."}}