{"id":"W2050242332","doi":"10.1002/elps.201300357","title":"Capillary electrophoresis‐mass spectrometry using a flow‐through microvial interface for cationic metabolome analysis","year":2013,"lang":"en","type":"article","venue":"Electrophoresis","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Metabolome; Metabolomics; Chemistry; Chromatography; Capillary electrophoresis; Capillary electrophoresis–mass spectrometry; Metabolite; Mass spectrometry; Cationic polymerization; Analytical Chemistry (journal); Dilution; Electrospray ionization; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002743262,0.0005463269,0.0008459681,0.000498886,0.0003958821,0.000149682,0.0005222555,0.0002818431,0.0002915554],"category_scores_gemma":[0.0002291749,0.0005244575,0.0007517809,0.001685973,0.0001362278,0.00002406947,0.0001517953,0.0002276992,0.00002970206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001712159,"about_ca_system_score_gemma":0.0001958072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003407116,"about_ca_topic_score_gemma":0.0001198712,"domain_scores_codex":[0.9967239,0.0001396667,0.0006126232,0.001076311,0.0002962982,0.001151202],"domain_scores_gemma":[0.9982839,0.00005991862,0.0002872167,0.0008196592,0.0003911774,0.0001581509],"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":[0.000180839,0.00008954768,0.0004819582,0.0000236515,0.003282518,0.000001328128,0.00004744972,0.0002580226,0.9889394,0.0003609396,0.006139615,0.0001947562],"study_design_scores_gemma":[0.0008415465,0.0006879169,0.001274994,0.000004396888,0.001585018,0.00001501257,0.00008680225,0.001548363,0.9748393,0.001575206,0.01680519,0.000736236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8086123,0.02491094,0.1645499,0.0003306521,0.0002351695,0.0008833467,0.00007164601,0.00004498143,0.0003610858],"genre_scores_gemma":[0.8954692,0.005762842,0.09598157,0.0003385431,0.0006665839,0.000285797,0.0002624526,0.0001043015,0.001128668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08685698,"threshold_uncertainty_score":0.9997207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007371348602336,"score_gpt":0.2601905288825819,"score_spread":0.2501168153965585,"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."}}