{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005048246,0.0007979935,0.0006039307,0.001256082,0.0003231822,0.0004388131,0.0003969258,0.0007183439,0.0005274302],"category_scores_gemma":[0.0007310824,0.0002124538,0.0004499717,0.0007768735,0.0002338888,0.0002601458,0.0004284214,0.0005364494,0.000508313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002472383,"about_ca_system_score_gemma":0.0004356966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006102365,"about_ca_topic_score_gemma":0.001167461,"domain_scores_codex":[0.9991776,0.0001817618,0.00003997863,0.0002989178,0.0002449707,0.00005666183],"domain_scores_gemma":[0.9997951,0.00004451604,0.00004814943,0.00001901889,0.00007322479,0.00002002977],"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":[0.000722988,0.00009978852,0.008117366,0.0002013747,0.0002046167,0.0002153347,0.00007999703,0.0003141598,0.9533011,0.0001402466,0.0004049118,0.03619814],"study_design_scores_gemma":[0.0001581988,0.002294541,0.059613,0.0001011967,0.0005002592,0.004416077,0.0001290824,0.009890709,0.91051,0.0008142469,0.01143063,0.0001421829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7247,0.03165769,0.2311218,0.0006668145,0.0004136831,0.0006878676,0.005914998,0.001561758,0.003275397],"genre_scores_gemma":[0.822464,0.01576554,0.1501243,0.001727399,0.0002724986,0.001350688,0.003684857,0.0001143966,0.004496307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001256082,"threshold_uncertainty_score":0.002669811,"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."}}