{"id":"W2329479880","doi":"10.1115/imece2003-42724","title":"Numerical Simulation of On-Chip Injection Process With Spatial Gradients of Electrical Conductivity","year":2003,"lang":"en","type":"article","venue":"Fluids Engineering","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Microfluidics; Electrokinetic phenomena; Conductivity; Buffer (optical fiber); Voltage; Materials science; Electric field; Chip; Flow (mathematics); Process (computing); Field (mathematics); Mechanics; Computer science; Nanotechnology; Electrical engineering; Engineering; Physics","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":[0.00006434097,0.0001394314,0.0001978346,0.0001209376,0.0000224851,0.00000411809,0.00006278572,0.00006599104,0.00001919991],"category_scores_gemma":[0.00003873828,0.0001337039,0.00003742961,0.0004310287,0.00001643934,0.00005560839,0.000002447394,0.0001365986,0.000002398337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005422014,"about_ca_system_score_gemma":0.00002141628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008266135,"about_ca_topic_score_gemma":2.760248e-7,"domain_scores_codex":[0.9992798,0.00001295421,0.0002126536,0.0001389175,0.0001715504,0.0001841151],"domain_scores_gemma":[0.999657,0.000050934,0.00002979216,0.0001539979,0.00005866246,0.00004962826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002131748,0.0000572607,0.0006178748,0.00009205392,0.00003290443,4.505283e-7,0.00008262861,0.7096781,0.2877772,0.001233988,0.00006856248,0.0003376917],"study_design_scores_gemma":[0.0003671057,0.0003606047,0.002420473,0.00003571399,0.00002699192,0.00001036214,0.000008605082,0.3027394,0.6933394,0.00005756791,0.0004226843,0.0002110835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7256247,0.0005584042,0.2732422,0.000001238176,0.0000470803,0.0001366339,0.000002934963,0.00008461931,0.0003021242],"genre_scores_gemma":[0.9996397,0.0001093567,0.0001544445,0.000002103558,0.0000271162,0.0000237964,0.000006417527,0.00003193866,0.000005160823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4069387,"threshold_uncertainty_score":0.5452288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006499969019617785,"score_gpt":0.2066754091611709,"score_spread":0.2001754401415531,"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."}}