{"id":"W2562693758","doi":"10.1038/srep38885","title":"Systematic Assessment of Seven Solvent and Solid-Phase Extraction Methods for Metabolomics Analysis of Human Plasma by LC-MS","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Repeatability; Chromatography; Sample preparation; Analyte; Metabolomics; Solid phase extraction; Extraction (chemistry); Protein precipitation; Metabolite; Matrix (chemical analysis); Metabolome; Chemistry; Solvent; Liquid chromatography–mass spectrometry; Mass spectrometry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002945014,0.0001374447,0.0006432698,0.0002451394,0.0001247492,0.00002919391,0.00009040581,0.00007759529,0.00001348681],"category_scores_gemma":[0.0003058666,0.00009422637,0.0002573553,0.0002907766,0.0001780299,0.00000810321,0.00008664989,0.00002533502,5.804845e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001738094,"about_ca_system_score_gemma":0.00005271088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000780454,"about_ca_topic_score_gemma":0.00001565383,"domain_scores_codex":[0.998167,0.0001084914,0.0008274951,0.0005329784,0.0001821345,0.0001818426],"domain_scores_gemma":[0.9980566,0.00006829771,0.0009786773,0.0005869971,0.0002475323,0.00006193278],"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":[0.00001019084,0.0001378486,0.0004832446,0.0004314118,0.001436805,7.992675e-7,0.00002808618,0.000008318852,0.9960414,0.0001716013,0.0005649659,0.0006853266],"study_design_scores_gemma":[0.0004115856,0.0002021529,0.0003450921,0.00009503056,0.001654394,0.000009044169,0.00008308984,0.0005835465,0.9933251,0.0006627365,0.002489757,0.000138528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.867,0.001564552,0.1300903,0.00002782353,0.0007050639,0.0004684898,0.00006013152,0.000004543715,0.00007915316],"genre_scores_gemma":[0.9837955,0.0001780472,0.01489757,0.000003667516,0.00001948322,0.00007148395,0.0001170828,0.00001092736,0.000906211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1167956,"threshold_uncertainty_score":0.384244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01883028491481483,"score_gpt":0.405430004129651,"score_spread":0.3865997192148362,"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."}}