{"id":"W4393006535","doi":"10.1002/elps.202300245","title":"Numerical modeling and experimental optimization of Taylor dispersion analysis with and without an electric field","year":2024,"lang":"en","type":"article","venue":"Electrophoresis","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multiphysics; Electric field; RADIUS; Diffusion; Dispersion (optics); Capillary action; Capillary electrophoresis; Mechanics; Analytical Chemistry (journal); Chemistry; Electrophoresis; Flow (mathematics); Materials science; Thermodynamics; Chromatography; Physics; Finite element method; Optics; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007290887,0.000429829,0.0003856618,0.0003650248,0.0004574596,0.0004389163,0.0005076721,0.0005350283,0.001500773],"category_scores_gemma":[0.001461096,0.0001842951,0.0003309475,0.0004314914,0.0004223873,0.000404563,0.0003047983,0.0003330536,0.0002894822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005483235,"about_ca_system_score_gemma":0.0006910405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001897991,"about_ca_topic_score_gemma":0.001235768,"domain_scores_codex":[0.9997553,0.00003084664,0.00001648332,0.00005006378,0.0001130995,0.00003418608],"domain_scores_gemma":[0.9993741,0.0002688349,0.0000664553,0.00006671387,0.0002066557,0.00001725942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002242397,0.0002583117,0.002128016,0.0003604222,0.00002077081,0.0002963452,0.0002526403,0.4761277,0.4874298,0.008995519,0.0009859096,0.0229204],"study_design_scores_gemma":[0.00002588709,0.0001148419,0.0006638661,0.00001305616,0.000009703132,0.00003117895,0.00003306301,0.8372346,0.1593497,0.0006836535,0.001820063,0.00002040601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7247151,0.0005141188,0.2564136,0.0004752362,0.0001363657,0.0002443554,0.000827467,0.0007597429,0.01591398],"genre_scores_gemma":[0.8968567,0.0002851757,0.09999361,0.00002549599,0.00001092248,0.0003101412,0.0002542539,0.00007703455,0.00218666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001897991,"threshold_uncertainty_score":0.005020618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00437909393789726,"score_gpt":0.2141133837796946,"score_spread":0.2097342898417973,"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."}}