{"id":"W1979296085","doi":"10.1007/s13361-010-0033-4","title":"Qualitative Metabolome Analysis of Human Cerebrospinal Fluid by<sup>13</sup>C-/<sup>12</sup>C-Isotope Dansylation Labeling Combined with Liquid Chromatography Fourier Transform Ion Cyclotron Resonance Mass Spectrometry","year":2011,"lang":"en","type":"article","venue":"Journal of the American Society for Mass Spectrometry","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canada Research Chairs; Genome Alberta; University of Alberta; Genome Canada","keywords":"Metabolome; Chemistry; Metabolite; Chromatography; Fourier transform ion cyclotron resonance; Mass spectrometry; Metabolomics; Dansyl chloride; Derivatization; Analytical Chemistry (journal); Biochemistry","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":[0.0002707971,0.0006655573,0.0004642469,0.0005809964,0.0002888308,0.0003143121,0.0002272188,0.0003458233,0.001059729],"category_scores_gemma":[0.0003941639,0.0001915609,0.0004404572,0.0004368157,0.000294002,0.0002467852,0.0002761532,0.0003043207,0.0006955601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002561307,"about_ca_system_score_gemma":0.0003555432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007522355,"about_ca_topic_score_gemma":0.001272759,"domain_scores_codex":[0.9996997,0.00004465981,0.00002409478,0.00008776121,0.0001146073,0.00002919709],"domain_scores_gemma":[0.9998329,0.00004561783,0.00003427854,0.00002137009,0.00004738964,0.00001837248],"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":[0.0001492894,0.0000127737,0.0003277863,0.00002917671,0.000008663148,0.00004771043,0.00001073572,0.0000751235,0.9953635,0.00002029998,0.00004062871,0.003914435],"study_design_scores_gemma":[0.00001102919,0.0002973741,0.005525136,0.000005634601,0.00003302679,0.0003830234,0.0000178395,0.00113862,0.9902441,0.00006609494,0.002262944,0.00001525573],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9104813,0.002546741,0.07707269,0.00017044,0.00004678913,0.0003430407,0.006695848,0.000493326,0.002149782],"genre_scores_gemma":[0.80193,0.003887872,0.1688211,0.000380572,0.00004570125,0.0006008632,0.01803663,0.0002455677,0.006051803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001059729,"threshold_uncertainty_score":0.003545165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01509646233642744,"score_gpt":0.2739647632258332,"score_spread":0.2588683008894058,"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."}}