Investigating\nWater Interactions with Collagen Using <sup>2</sup>H Multiple Quantum\nFiltered NMR Spectroscopy To Provide Insights\ninto the Source of Double Quantum Filtered Signal in Tissue
Bibliographic record
Abstract
In\nan effort to provide insight into the molecular origins of the <sup>2</sup>H double quantum filtered (DQF) NMR signal observed in connective\ntissue, specifically spinal disc tissue, <sup>2</sup>H multiple quantum\nfiltered (MQF) NMR spectroscopy is used to study the structure and\ndynamics of D<sub>2</sub>O in collagen as a function of hydration.\nResidual quadrupolar coupling constants are measured and decrease\nfrom 3500 to 20 Hz while <i>T</i><sub>2</sub> relaxation\ntimes increase from 0.65 to 20 ms as hydration increases. Analysis\nof the data indicates that the quadrupolar coupling and <i>T</i><sub>2</sub> relaxation arises when water molecules spend time in\nrestricted environments. The residual quadrupolar coupling is influenced\nalmost exclusively by the most restricted water sites, the clefts\nof the triple helices not exposed on the surface of the fibrils, while\nthe <i>T</i><sub>2</sub> relaxation has secondary contributions\nfrom less restricted water environments. The magnitudes of the measured\nvalues are consistent with results from DQF NMR studies of spinal\ndisc tissue, supporting the assertion that water binding to collagen\nis a major contributor to the DQF NMR signal observed in spinal disc\ntissue.
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How this classification was reachedexpand
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.043 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".