{"id":"W1986337393","doi":"10.1021/ac0347157","title":"Electrokinetic Transport through Rough Microchannels","year":2003,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrokinetic phenomena; Microscale chemistry; Chemistry; Microfluidics; Mechanics; Surface roughness; Electrophoresis; Surface finish; Capillary action; Microfabrication; Analytical Chemistry (journal); Nanotechnology; Composite material; Materials science; Chromatography","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":[0.0002346044,0.0003228155,0.0004328375,0.000247761,0.0003161456,0.0005870361,0.0004427523,0.0009034851,0.0004249334],"category_scores_gemma":[0.0008916925,0.00024513,0.0005434293,0.000153813,0.0006588864,0.000537982,0.0002622846,0.0003609718,0.0000850764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000759384,"about_ca_system_score_gemma":0.0009134375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006585185,"about_ca_topic_score_gemma":0.002540716,"domain_scores_codex":[0.9998567,0.00002233091,0.00000809932,0.00002811792,0.0000509636,0.00003374785],"domain_scores_gemma":[0.9997694,0.0001134028,0.00003785623,0.00003045915,0.00003378821,0.0000150293],"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":[0.00004645303,0.00003498029,0.0008971841,0.00004857254,0.00001746263,0.0001135029,0.00006974064,0.9024458,0.08885624,0.004933747,0.0000866656,0.002449783],"study_design_scores_gemma":[0.00001681915,0.00002723462,0.0002836938,0.000002911865,0.000003699503,0.00002146765,0.000008164729,0.9869376,0.01169708,0.0006103987,0.0003803064,0.00001060444],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8369487,0.0003448367,0.1580342,0.0001862864,0.000059872,0.00009418612,0.0002142006,0.0003913415,0.003726361],"genre_scores_gemma":[0.9595826,0.0002829494,0.03801763,0.00003598541,0.000007838792,0.0001098646,0.0001042447,0.00002549463,0.001833375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006585185,"threshold_uncertainty_score":0.01309371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006445780694733001,"score_gpt":0.2015254523763628,"score_spread":0.1950796716816298,"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."}}