{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007807671,0.0003096832,0.0003389647,0.00009428519,0.00005461943,0.00009398019,0.0003847948,0.0005251099,0.0001356194],"category_scores_gemma":[0.00006832825,0.0003443571,0.0001415387,0.0001378573,0.00002991276,0.00002915167,0.0003123444,0.001026539,0.00002880945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001063408,"about_ca_system_score_gemma":0.0000492102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003447451,"about_ca_topic_score_gemma":0.00000621629,"domain_scores_codex":[0.9987951,0.00001683366,0.0002227431,0.000371906,0.0001245396,0.0004688764],"domain_scores_gemma":[0.9993242,0.00002955068,0.0000313563,0.0005357767,0.00003574755,0.00004338826],"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":[0.000004818236,0.00001114127,0.000004967401,0.0002198564,0.0001346707,0.00002445528,0.0001112261,0.001097434,0.7188246,0.000006918285,0.2663918,0.01316814],"study_design_scores_gemma":[0.00007880562,0.00004799293,0.000005481188,0.0002524221,0.00003337008,0.000009179385,0.00003747575,0.002478726,0.9719211,0.00008293535,0.02460872,0.0004437845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8028126,0.1712006,0.01669437,0.0003366305,0.001296654,0.0002191826,0.00008085746,0.005047102,0.002311943],"genre_scores_gemma":[0.9788991,0.01425419,0.005324094,0.0001026461,0.0001588948,0.0001190506,0.0003840977,0.0001407085,0.0006171992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2530965,"threshold_uncertainty_score":0.9999008,"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."}}