How the 1D‐NOESY suppresses solvent signal in metabonomics NMR spectroscopy: An examination of the pulse sequence components and evolution
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Metabonomics has become an increasingly shared pursuit in international research. Presently the two most common techniques are mass spectrometry and nuclear magnetic resonance (NMR) spectrometry either in isolation or in conjunction. The 1D‐ 1 H‐NOESY is the most utilized (Beckonert et al., Nat Protoc 2007;2:2692–2703) NMR pulse sequence for the collection of metabonomics NMR data from biological samples such as blood plasma, serum, urine, cerebrospinal fluid, sputum, or homogenized tissue extracts. While the 1D version of the 2D‐ 1 H, 1 H‐NOESY pulse sequence has become widely used in metabonomics studies, the understanding of the mechanism of solvent suppression has not kept pace. This article will examine the mechanisms by which the 1D‐NOESY suppresses solvent signals and detail the pulse sequence's components in terms of function, phase cycle, and performance. © 2011 Wiley Periodicals, Inc. Concepts Magn Reson Part A 38: 197–220, 2011.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it