{"id":"W1536750975","doi":"10.1002/0471799742.ch14","title":"Numerical Simulation of Electrokinetic Phenomena","year":2005,"lang":"en","type":"other","venue":"","topic":"Electrostatics and Colloid Interactions","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Electrokinetic phenomena; Poisson–Boltzmann equation; Capillary electrophoresis; Capillary action; Electrolyte; Flow (mathematics); Poisson's equation; Boltzmann equation; Mechanics; Computer science; Statistical physics; Classical mechanics; Physics; Chemistry; Thermodynamics; Mathematics; Mathematical analysis; Physical chemistry; Chromatography; Ion","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003647022,0.0003711878,0.0006676051,0.0004064617,0.0004568715,0.001057237,0.001051791,0.000990415,0.005219574],"category_scores_gemma":[0.001530446,0.0002899228,0.0004218957,0.0007501349,0.0006663434,0.0009636061,0.0007466353,0.0008233524,0.000944055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006614141,"about_ca_system_score_gemma":0.0008150312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002118921,"about_ca_topic_score_gemma":0.001206555,"domain_scores_codex":[0.9997135,0.0000518967,0.00001645436,0.00003304265,0.0001627974,0.00002232747],"domain_scores_gemma":[0.9996165,0.0002019902,0.00002439184,0.00004980094,0.00008752983,0.0000196491],"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":[0.00003739812,0.00005665136,0.000326127,0.0002091569,0.00002376185,0.000088811,0.0001074261,0.8454024,0.01243702,0.1123127,0.003352859,0.02564558],"study_design_scores_gemma":[0.00001449176,0.000005040417,0.00007913512,0.00001276984,0.00000244786,0.00002126672,0.00000787545,0.9832704,0.001702207,0.009100256,0.005777038,0.000007030618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04483472,0.001809489,0.8790268,0.0006575765,0.0004834301,0.0002132102,0.0006368838,0.001113385,0.07122453],"genre_scores_gemma":[0.4697949,0.002757018,0.479143,0.0003085478,0.0002035586,0.0009196869,0.001048495,0.0004927971,0.045332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005219574,"threshold_uncertainty_score":0.01746124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005508830086781826,"score_gpt":0.2571852031996359,"score_spread":0.2516763731128541,"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."}}