{"id":"W3092235128","doi":"10.3390/metabo10100400","title":"Targeted Metabolomic Profiling of Total Fatty Acids in Human Plasma by Liquid Chromatography-Tandem Mass Spectrometry","year":2020,"lang":"en","type":"article","venue":"Metabolites","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa","funders":"College of Medicine and Health Sciences, United Arab Emirates University; United Arab Emirates University","keywords":"Chromatography; Chemistry; Derivatization; Metabolomics; Coefficient of variation; Analyte; Liquid chromatography–mass spectrometry; Tandem mass spectrometry; Mass spectrometry; Detection limit; Gas Chromatography/Tandem Mass Spectrometry; Fatty acid; 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":[0.0003592799,0.0003999782,0.0008531229,0.0002423016,0.00009389797,0.00002927233,0.0003392482,0.0002068044,0.0000815138],"category_scores_gemma":[0.0002451385,0.0003788008,0.0003137732,0.0008757255,0.0001700614,0.00001428213,0.0002081169,0.000239928,0.000005097782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001210365,"about_ca_system_score_gemma":0.00004833291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001773238,"about_ca_topic_score_gemma":0.000004475623,"domain_scores_codex":[0.9975452,0.0001397485,0.0007477379,0.0007157242,0.0002792552,0.0005723507],"domain_scores_gemma":[0.9990501,0.00002431521,0.0002859168,0.0003751459,0.00009276532,0.0001717831],"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":[0.0001640857,0.000100228,0.03706298,0.00004349436,0.0003535594,0.000002479841,0.00006220776,0.00001319553,0.9606941,0.001201392,0.0002592884,0.0000429899],"study_design_scores_gemma":[0.001188833,0.0005000257,0.0119114,0.000007197503,0.0001061196,0.000002837937,0.0001855345,0.00005308204,0.9823548,0.0001029755,0.00320866,0.000378553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753521,0.02164664,0.001281245,0.0001598466,0.0001446422,0.0003379366,0.0001957589,0.00003651336,0.0008453377],"genre_scores_gemma":[0.9860598,0.001279789,0.01185096,0.0001475974,0.0002431516,0.00004335078,0.0002614074,0.00005075378,0.00006318581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02515158,"threshold_uncertainty_score":0.9998664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009832748015744186,"score_gpt":0.2366521130940293,"score_spread":0.2268193650782852,"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."}}