{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009601586,0.001364661,0.001255137,0.002027885,0.0005463059,0.0009567463,0.0007815344,0.0009015322,0.0004109603],"category_scores_gemma":[0.01012246,0.0004877974,0.001258423,0.001242973,0.0008134356,0.0006458132,0.001498271,0.0005274211,0.0003547149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005097789,"about_ca_system_score_gemma":0.001750113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004590789,"about_ca_topic_score_gemma":0.0009930619,"domain_scores_codex":[0.9903067,0.003181358,0.001345125,0.001413644,0.003480636,0.0002725808],"domain_scores_gemma":[0.995018,0.001989165,0.0007251521,0.000492925,0.001614338,0.0001604119],"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":[0.001739448,0.000343913,0.009023047,0.001954867,0.0007805257,0.0001269786,0.0002078321,0.001257652,0.8902441,0.0002787628,0.0003257386,0.09371717],"study_design_scores_gemma":[0.0001113372,0.004559279,0.01676456,0.0002028486,0.00144187,0.0007167457,0.0001233193,0.00412323,0.9654601,0.0002987801,0.006098242,0.00009967835],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7625246,0.04563558,0.1833242,0.0006585965,0.0002433868,0.003198828,0.001528591,0.0006891085,0.002197056],"genre_scores_gemma":[0.6123924,0.02505024,0.3541549,0.0005438775,0.0001287303,0.002574338,0.003420681,0.0003138492,0.001421054],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.009601586,"threshold_uncertainty_score":0.05077869,"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."}}