{"id":"W2023210922","doi":"10.1016/j.chroma.2007.04.011","title":"Direct measurement of isotopomer of intracellular metabolites using capillary electrophoresis time-of-flight mass spectrometry for efficient metabolic flux analysis","year":2007,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Atlantic Canada Opportunities Agency","keywords":"Chemistry; Derivatization; Chromatography; Isotopomers; Metabolic flux analysis; Mass spectrometry; Amino acid; Capillary electrophoresis; Capillary electrophoresis–mass spectrometry; Time-of-flight mass spectrometry; Flux (metallurgy); Sample preparation; Metabolome; Hydrolysis; Analytical Chemistry (journal); Metabolomics; Metabolism; Biochemistry; Electrospray ionization; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005012603,0.0008338113,0.0006002437,0.0006831644,0.0006596231,0.0009194205,0.0006572843,0.0007787722,0.001023094],"category_scores_gemma":[0.0008397847,0.0003353538,0.0002181503,0.0007484551,0.0005491386,0.0008026108,0.0004611489,0.001243753,0.0004287531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006757321,"about_ca_system_score_gemma":0.0009447432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002434597,"about_ca_topic_score_gemma":0.007506306,"domain_scores_codex":[0.9996147,0.00003660357,0.00001436115,0.0001129447,0.0001679242,0.00005334288],"domain_scores_gemma":[0.9993277,0.0002699716,0.00007434492,0.00006205758,0.0001810101,0.00008504508],"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":[0.00006031823,0.00001062827,0.0001201964,0.00001633575,0.000004120812,0.0000120475,0.000009657756,0.00002546016,0.9970094,0.0001754968,0.00007335797,0.002482816],"study_design_scores_gemma":[0.000008320083,0.00003704922,0.001164311,0.000002530255,0.000008291805,0.00007540172,0.000007934749,0.002021552,0.9957995,0.000142643,0.0007231882,0.000009293628],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6760307,0.004435439,0.3098442,0.0006265389,0.0002601305,0.0003063254,0.0033267,0.001211845,0.003958041],"genre_scores_gemma":[0.724747,0.003911769,0.2627467,0.0005352264,0.0001390992,0.0006163187,0.002059789,0.0003097621,0.004934378],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002434597,"threshold_uncertainty_score":0.00490284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009566366276575783,"score_gpt":0.239870597355432,"score_spread":0.2303042310788562,"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."}}