{"id":"W4307939629","doi":"10.3390/metabo12111030","title":"Congruence and Complementarity of Differential Mobility Spectrometry and NMR Spectroscopy for Plasma Lipidomics","year":2022,"lang":"en","type":"article","venue":"Metabolites","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"European Commission","keywords":"Lipidomics; Lipoprotein; Mass spectrometry; Chemistry; Lipid metabolism; Nuclear magnetic resonance spectroscopy; Cholesterol; Computational biology; Bioinformatics; Chromatography; Biochemistry; Biology","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":[0.01992631,0.00129646,0.001177217,0.00373534,0.0006128001,0.003206855,0.0009373709,0.001327724,0.0008354548],"category_scores_gemma":[0.03224351,0.0008673068,0.0009413227,0.001749951,0.001264986,0.001167211,0.002661687,0.00130787,0.0008545638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004546592,"about_ca_system_score_gemma":0.001056827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008115689,"about_ca_topic_score_gemma":0.001364041,"domain_scores_codex":[0.973927,0.01219432,0.001514922,0.003930354,0.00775705,0.0006762842],"domain_scores_gemma":[0.9788876,0.01273824,0.001935507,0.002738055,0.003310941,0.0003897577],"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":[0.001229263,0.0002074576,0.03516809,0.0005318569,0.0005809037,0.0002652769,0.0007799345,0.005494204,0.8940362,0.002247487,0.0002993094,0.05916006],"study_design_scores_gemma":[0.00009514409,0.001050718,0.08207355,0.0001724148,0.0005848482,0.001249443,0.0005193207,0.1011375,0.8027157,0.006029402,0.004069947,0.0003021404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3556301,0.002943837,0.6348177,0.0006095821,0.000242445,0.0004864891,0.0007928915,0.0009097948,0.003567098],"genre_scores_gemma":[0.609782,0.001221123,0.386447,0.0002537329,0.0001616209,0.0004108652,0.0005456786,0.0002413365,0.0009367303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01992631,"threshold_uncertainty_score":0.1053817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118448752356628,"score_gpt":0.2561908493906662,"score_spread":0.2450063618670999,"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."}}