{"id":"W2401904574","doi":"10.1039/c6nr02937j","title":"Electroosmotic flow in single PDMS nanochannels","year":2016,"lang":"en","type":"article","venue":"Nanoscale","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrokinetic phenomena; Nanofluidics; Electric field; Electrolyte; Microchannel; Materials science; Electro-osmosis; Ionic bonding; Flow velocity; Nanotechnology; Flow (mathematics); Mechanics; Microfluidics; Chemical physics; Electrophoresis; Ion; Chemistry; Electrode; Chromatography; Physics","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":[0.00008907547,0.0001995261,0.0002588213,0.0001543156,0.00004146024,0.00000859608,0.000140956,0.000110764,0.0001358469],"category_scores_gemma":[0.00001492681,0.0001458375,0.00007625722,0.0003083138,0.00004270129,0.0001401889,0.00001606843,0.00008157186,0.0001432115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001025418,"about_ca_system_score_gemma":0.00001076883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007758385,"about_ca_topic_score_gemma":0.000146657,"domain_scores_codex":[0.998841,0.00001104384,0.0002633425,0.0002234144,0.000147062,0.0005141153],"domain_scores_gemma":[0.9996342,0.00005606092,0.00001695254,0.0001975,0.00002473816,0.00007056612],"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":[0.00003555324,0.0001707431,0.004636848,0.00008099479,0.00006389264,0.00008288869,0.0005873211,0.0006673822,0.9468146,0.0001546837,0.007285975,0.03941914],"study_design_scores_gemma":[0.001710012,0.0002134219,0.003753082,0.0002554087,0.00002225369,0.00001272101,0.00003519751,0.0004921958,0.9648838,0.002448186,0.02555436,0.0006193496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709049,0.003528814,0.01085637,0.0006359579,0.001484475,0.0003793023,0.00003959071,0.0008047959,0.01136575],"genre_scores_gemma":[0.9975483,0.0004138852,0.0003051319,0.00004477789,0.0001234339,0.00003598028,0.000003554625,0.00004266086,0.001482312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03879979,"threshold_uncertainty_score":0.5947083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017041983607982,"score_gpt":0.1886632073555054,"score_spread":0.1784927875194255,"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."}}