{"id":"W2062585387","doi":"10.1021/ac900212h","title":"Gradient Elution in Microchannel Electrochromatography","year":2009,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Chemistry; Electrochromatography; Microfluidics; Elution; Capillary electrochromatography; Chromatography; Microchannel; Gradient elution; Electro-osmosis; Analytical Chemistry (journal); Stationary phase; High-performance liquid chromatography; Nanotechnology; Electrophoresis; Materials science","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":[0.0008049112,0.0004925266,0.000380117,0.0005303257,0.0002238996,0.0007317094,0.0007572547,0.0008408862,0.0007808],"category_scores_gemma":[0.000979976,0.0003809622,0.0002456846,0.0004340186,0.0007559583,0.0007401437,0.0006492374,0.001069915,0.0008249261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006868872,"about_ca_system_score_gemma":0.0003607102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004309067,"about_ca_topic_score_gemma":0.0007244383,"domain_scores_codex":[0.9991506,0.0002070272,0.00003642789,0.000190188,0.0003444905,0.00007121429],"domain_scores_gemma":[0.9996007,0.0002144978,0.00004860702,0.0000456585,0.00006665624,0.00002393305],"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":[0.00008909036,0.00006397721,0.0002867134,0.0003041582,0.00001339864,0.00009504653,0.00006290304,0.001128848,0.9216059,0.008977242,0.001449755,0.065923],"study_design_scores_gemma":[0.00002085557,0.0001219459,0.0004730816,0.00003630625,0.00001165261,0.0003477863,0.0000119337,0.01116712,0.9549074,0.00248156,0.03038044,0.0000399958],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.070551,0.01777434,0.899161,0.0009619024,0.0007981565,0.0003588127,0.0002105606,0.003379055,0.00680515],"genre_scores_gemma":[0.2776598,0.009707097,0.7028423,0.001143636,0.0002666809,0.0003791573,0.0002374297,0.0002363043,0.007527671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008408862,"threshold_uncertainty_score":0.004983723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003697229557850062,"score_gpt":0.1929195631641103,"score_spread":0.1892223336062603,"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."}}