{"id":"W2047346998","doi":"10.1002/cmr.a.20223","title":"How the 1D‐NOESY suppresses solvent signal in metabonomics NMR spectroscopy: An examination of the pulse sequence components and evolution","year":2011,"lang":"en","type":"article","venue":"Concepts in Magnetic Resonance Part A","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":188,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"","keywords":"Two-dimensional nuclear magnetic resonance spectroscopy; Pulse sequence; Chemistry; Nuclear magnetic resonance spectroscopy; Nuclear Overhauser effect; Mass spectrometry; Nuclear magnetic resonance; Analytical Chemistry (journal); Chromatography; Stereochemistry; Physics","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":[0.0003723433,0.0001411495,0.000194281,0.00004135534,0.00006385798,0.00002062793,0.0002823952,0.00006923053,0.0000211916],"category_scores_gemma":[0.00008564643,0.00009712383,0.00003957245,0.0001499425,0.0004155905,0.00001354765,0.0001615536,0.0001095706,3.192824e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002562552,"about_ca_system_score_gemma":0.0000362055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009378444,"about_ca_topic_score_gemma":0.0003535764,"domain_scores_codex":[0.9989031,0.0002108423,0.0002305479,0.000310239,0.0001208762,0.0002244112],"domain_scores_gemma":[0.9994454,0.00002320932,0.0001200126,0.0003408588,0.00004258193,0.00002795567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001019338,0.0001600068,0.08042711,0.00002152634,0.00001295171,0.000001981108,0.0008963459,0.00002173466,0.9013944,0.003999623,0.00004832466,0.01291406],"study_design_scores_gemma":[0.0005163776,0.0002619802,0.8451783,0.00002851536,0.00001604297,0.000003248267,0.0004326115,0.0003474895,0.1490549,0.0006436642,0.003385221,0.0001316863],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834578,0.01542898,0.00009222276,0.0001095337,0.0001151013,0.0003218941,0.00002001796,0.000002471947,0.0004519616],"genre_scores_gemma":[0.9970896,0.001993531,0.0006246195,0.00003885343,0.00005176548,0.00005256553,0.000008759748,0.000009275095,0.0001310067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7647512,"threshold_uncertainty_score":0.3960595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03253224890855636,"score_gpt":0.2565858412289759,"score_spread":0.2240535923204195,"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."}}