{"id":"W1982658614","doi":"10.1016/s0021-9673(00)00163-1","title":"Micellar electrokinetic capillary chromatographic separation and fluorescent detection of amino acids derivatized with 4-fluoro-7-nitro-2,1,3-benzoxadiazole","year":2000,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Chemistry; Chromatography; Micellar electrokinetic chromatography; Derivatization; Amino acid; Reagent; Analyte; Sodium Cholate; Fluorescence; Resolution (logic); Detection limit; High-performance liquid chromatography; Organic chemistry; Biochemistry","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":[0.0001544065,0.0002657139,0.0004518178,0.000499234,0.00009802531,0.00003891679,0.0001682532,0.0001299513,0.0001069969],"category_scores_gemma":[0.000003221173,0.0002310505,0.0001880116,0.0009201214,0.0001376862,0.0001785306,0.000006982664,0.0002526882,0.000002620028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000032853,"about_ca_system_score_gemma":0.00004239528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001042544,"about_ca_topic_score_gemma":0.000006388281,"domain_scores_codex":[0.9984816,0.00005602059,0.0006602086,0.0001641383,0.0003329878,0.0003049854],"domain_scores_gemma":[0.9992054,0.00003621034,0.0002249455,0.0002354468,0.0001460606,0.0001519375],"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":[0.0001396743,0.00006805218,0.001061702,0.0001199355,0.0002935534,0.000008699546,0.000161346,0.00006494499,0.9937999,0.0000466491,0.001251939,0.002983563],"study_design_scores_gemma":[0.001519615,0.0007194352,0.01950901,0.0001288028,0.0002450398,0.0007892259,0.00007728191,0.0006417903,0.9684483,0.0002083388,0.007405647,0.000307446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9444928,0.05286537,0.001935612,0.00002117239,0.00003428133,0.0002349267,0.00000456694,0.00006236253,0.00034891],"genre_scores_gemma":[0.9234704,0.07595263,0.0004196361,0.00002179995,0.0000682739,0.00001514556,0.000006345218,0.00004194655,0.000003760168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02535157,"threshold_uncertainty_score":0.9421965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00242935088283096,"score_gpt":0.1767143720420225,"score_spread":0.1742850211591915,"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."}}