{"id":"W2076744420","doi":"10.1504/ijesms.2015.068646","title":"Variable-focus liquid lens simulation","year":2015,"lang":"en","type":"article","venue":"International Journal of Engineering Systems Modelling and Simulation","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Electrohydrodynamics; Multiphysics; Mechanics; Finite element method; Surface tension; Viscosity; Compressibility; Newtonian fluid; Conservation of mass; Incompressible flow; Focus (optics); Non-Newtonian fluid; Classical mechanics; Physics; Optics; Thermodynamics; Electric field","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":[0.0003762945,0.0001238921,0.0001716476,0.0002844093,0.00001814439,0.0000740898,0.0001312683,0.0001061628,6.269942e-7],"category_scores_gemma":[0.0001121578,0.000121895,0.00003632511,0.00009037185,0.000008393753,0.0003168685,0.00001364757,0.000188337,0.000001609953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000136449,"about_ca_system_score_gemma":0.00002322831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001316692,"about_ca_topic_score_gemma":8.553481e-8,"domain_scores_codex":[0.9990737,0.00001234651,0.0004246637,0.0000812922,0.0002760068,0.0001319994],"domain_scores_gemma":[0.9991954,0.0001332411,0.000104768,0.00007439159,0.0004365186,0.00005567962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002879276,0.000006474189,0.00001877913,0.00001806726,0.00007962355,0.000006305338,0.0001826551,0.9948552,0.003379721,0.0006809473,0.00003265407,0.0007107762],"study_design_scores_gemma":[0.0003636536,0.00006564501,0.000003206374,0.0001637085,0.00001619368,0.00004659748,0.00004055615,0.992622,0.001554742,0.0001773997,0.004828855,0.0001174234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2522582,0.003064745,0.7432532,0.00002222605,0.001108931,0.00004129644,0.000002445769,0.0001733055,0.00007556092],"genre_scores_gemma":[0.9953868,0.0001208648,0.004052884,0.000003263673,0.0003886684,0.000001378519,0.000003011676,0.00002535941,0.0000177503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7431286,"threshold_uncertainty_score":0.4970733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02424226309027298,"score_gpt":0.2363293219907793,"score_spread":0.2120870589005063,"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."}}