{"id":"W2055905410","doi":"10.1088/0960-1317/13/1/316","title":"Analytical treatment of flow in infinitely extended circular microchannels and the effect of slippage to increase flow efficiency","year":2002,"lang":"en","type":"article","venue":"Journal of Micromechanics and Microengineering","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Slippage; Microchannel; Electrokinetic phenomena; Slip (aerodynamics); Microfluidics; Electrolyte; Mechanics; Volumetric flow rate; Materials science; Slip ratio; Flow (mathematics); Electro-osmosis; Chemistry; Thermodynamics; Nanotechnology; Composite material; Chromatography; Shear stress; Physics; Electrode; Electrophoresis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003380682,0.0002083022,0.0005781166,0.0003212042,0.00002854028,0.00001643453,0.0001335698,0.00007232202,0.00001518185],"category_scores_gemma":[0.00003218428,0.0001507267,0.0001308664,0.0003282481,0.0000370893,0.00004066595,0.00002906115,0.0001357525,8.846615e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000620947,"about_ca_system_score_gemma":0.000008135353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008868525,"about_ca_topic_score_gemma":8.23808e-7,"domain_scores_codex":[0.9989317,0.00003682881,0.0005653018,0.0001258108,0.0001078652,0.0002324919],"domain_scores_gemma":[0.9994495,0.0001350663,0.00008977732,0.0001651072,0.00004793837,0.0001125922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008148247,0.00005420444,0.00002059597,0.0001588561,0.0001146336,0.00001654329,0.0007039115,0.002972977,0.9882907,0.00008956714,0.0002075634,0.007288935],"study_design_scores_gemma":[0.004940509,0.001320202,0.0001476239,0.0002557395,0.0002573268,0.0005738763,0.00009747082,0.2323144,0.757363,0.00005769474,0.00238166,0.000290437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9206805,0.06837734,0.01055105,0.00004574177,0.0000551183,0.0002514581,0.00001574001,0.000008653124,0.00001434711],"genre_scores_gemma":[0.956512,0.0429137,0.0004923945,0.000008845056,0.00003103645,0.000007818,0.000001165522,0.0000251,0.000007906925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2309277,"threshold_uncertainty_score":0.6146457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004704122984466483,"score_gpt":0.1852311552416823,"score_spread":0.1805270322572158,"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."}}