{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003307753,0.0001714161,0.0003861353,0.00007970528,0.0002345609,0.00002154582,0.0001436394,0.00003493782,0.00008391024],"category_scores_gemma":[0.0001115923,0.0001678914,0.00008485103,0.0001062873,0.0001951045,0.000004355122,0.0004741678,0.00009507051,1.126654e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001266662,"about_ca_system_score_gemma":0.0000283416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006659451,"about_ca_topic_score_gemma":0.00004117895,"domain_scores_codex":[0.9988428,0.00007044337,0.0002733123,0.0004192889,0.0001317597,0.000262373],"domain_scores_gemma":[0.9994444,0.00006275067,0.0001341939,0.0002420708,0.00005274944,0.00006389041],"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":[0.0002554907,0.0001367788,0.02743569,0.00005488724,0.0001662015,1.866117e-7,0.00004925767,0.000002182674,0.9628784,0.008295161,0.0002806866,0.00044505],"study_design_scores_gemma":[0.002589427,0.001027467,0.08609842,0.000002652026,0.0001922141,0.00001527246,0.0005187586,0.000365393,0.8595717,0.003708873,0.0455443,0.0003654966],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934355,0.003977262,0.001080747,0.0001156292,0.0002037807,0.0003841909,0.0006866475,0.000006905837,0.0001093493],"genre_scores_gemma":[0.9891822,0.0009007878,0.009415882,0.00006697462,0.0001327192,0.00008096849,0.0001174153,0.0000144527,0.00008855378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1033067,"threshold_uncertainty_score":0.6846412,"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."}}