{"id":"W3131729552","doi":"10.1017/flo.2021.13","title":"Shaping liquid films by dielectrophoresis","year":2021,"lang":"en","type":"preprint","venue":"Flow","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; Azrieli Foundation; Israel Academy of Sciences and Humanities; Iran Science Elites Federation; European Commission","keywords":"Microscale chemistry; Materials science; Dielectrophoresis; Electrode; Electric field; Deformation (meteorology); Dielectric; Microfluidics; Laplace's equation; Stress (linguistics); Holography; Mechanics; Composite material; Nanotechnology; Optoelectronics; Optics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001297635,0.0004288059,0.0002921929,0.0002170824,0.0002022547,0.0005182306,0.0004487091,0.0003805778,0.0009558498],"category_scores_gemma":[0.0002751563,0.0002049227,0.0001519083,0.000155938,0.0005246926,0.0003903857,0.0003453215,0.0002968229,0.0002603202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003662443,"about_ca_system_score_gemma":0.0001346559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002008574,"about_ca_topic_score_gemma":0.0001867354,"domain_scores_codex":[0.9998358,0.00002062968,0.000007918193,0.00003760886,0.00007505969,0.00002292411],"domain_scores_gemma":[0.9998947,0.00005172525,0.00001763149,0.00001818203,0.00001084948,0.000006909359],"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":[0.00001276182,0.00001703263,0.00006801122,0.00003455517,0.000003944197,0.000106267,0.00002231935,0.004619888,0.9894717,0.002484069,0.00009061069,0.003068864],"study_design_scores_gemma":[0.00003221065,0.00008078432,0.0004153568,0.000008572282,0.000005971368,0.0001225446,0.00001531174,0.1279451,0.8652814,0.001753322,0.004326056,0.00001330606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7248555,0.001582901,0.2603298,0.0004907607,0.0001698929,0.000122202,0.0001404254,0.0006632087,0.01164534],"genre_scores_gemma":[0.9661352,0.0006891827,0.03033621,0.000108254,0.00002611593,0.00005413968,0.00005211708,0.0000381396,0.002560623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009558498,"threshold_uncertainty_score":0.00319761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00893616962429801,"score_gpt":0.1995435720274935,"score_spread":0.1906074024031955,"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."}}