Nuclear magnetic resonance studies of metals in solid state non-metallic materials
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The chemical nature of a metal modulates the properties and applications of various types of materials such as zeolites, inorganic complexes, polymers, metalloproteins, and RNA. To understand the roles of metals in these materials, and to design new metal containing materials, it is essential to understand the coordination chemistry around each metal site. Solid state nuclear magnetic resonance (NMR) spectroscopy has become one of the most valuable techniques for investigation of the structural and functional aspects of many important systems with no long range order, such as glasses, resins, catalysts, polymers, coals, silicates, and a variety of biological solids (viruses, fibril forming molecules, molecules embedded in the cell membrane). This overview presents several developments of solid state NMR to the study of a variety of metal containing materials. In particular, the use of the quadrupolar Carr-Purcell-Meiboom-Gill (QCPMG) pulse sequence techniques for the acquisition of solid state NMR spectra of quadrupolar nuclei, notably those with low natural abundances and low NMR frequencies, and applications of solid state 113Cd NMR are covered in detail.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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