{"id":"W2011228448","doi":"10.1021/ac000393k","title":"Dynamics of Capillary Isoelectric Focusing in the Absence of Fluid Flow:  High-Resolution Computer Simulation and Experimental Validation with Whole Column Optical Imaging","year":2000,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Chemistry; Isoelectric focusing; Detector; Column (typography); Capillary action; Anode; Analytical Chemistry (journal); Resolution (logic); Sample (material); Flow (mathematics); RADIUS; Chromatography; Optics; Mechanics; Electrode; Artificial intelligence; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007552463,0.00009155557,0.0001334205,0.00002434974,0.00003235755,0.00001476515,0.00007606563,0.00004897182,0.00004762834],"category_scores_gemma":[0.000003656872,0.00007953179,0.00002319621,0.0002405135,0.00008803669,0.00005646265,0.000008890866,0.00009461703,0.000001053446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006605928,"about_ca_system_score_gemma":0.0000140666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002075588,"about_ca_topic_score_gemma":8.283926e-7,"domain_scores_codex":[0.999362,0.00001153961,0.0002165874,0.0001313455,0.0001442072,0.000134335],"domain_scores_gemma":[0.9997182,0.00006048857,0.00002287517,0.000141247,0.00002895478,0.00002816703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006318482,0.0001459332,0.001127937,0.000135406,0.00004022061,0.000005740344,0.0002284417,0.2175977,0.7761952,0.0003687519,0.0004655094,0.003626019],"study_design_scores_gemma":[0.0001873087,0.00001974748,0.0008361569,0.00002033741,0.00001694488,0.00001050319,0.00004524022,0.7967234,0.2019818,0.00004505942,0.00003699606,0.00007648534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804183,0.00151204,0.017529,0.00006006268,0.000003073252,0.00008318888,0.000005006207,0.00001644371,0.000372911],"genre_scores_gemma":[0.9992141,0.0002809755,0.0003847003,0.00001109184,0.00002898167,0.000005238341,0.00005455527,0.000009906061,0.00001049155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5791257,"threshold_uncertainty_score":0.3243212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004176450854969524,"score_gpt":0.2081198765156388,"score_spread":0.2039434256606693,"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."}}