Nuclear relaxation of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mmultiscripts><mml:mi>He</mml:mi><mml:none/><mml:none/><mml:mprescripts/><mml:none/><mml:mn>3</mml:mn></mml:mmultiscripts></mml:mrow></mml:math>in the presence of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>NO</mml:mi></mml:mrow></mml:math>
Bibliographic record
Abstract
By virtue of the fact that its low-lying $^{2}\mathrm{\ensuremath{\Pi}}_{3∕2}$ state is paramagnetic, nitric oxide $(\mathrm{NO})$ can be an effective agent for inducing nuclear spin relaxation during isolated binary collisions with other species. At the same time, the strong coupling between the electronic angular momentum and the internuclear axis of this particular molecule leads to a situation in which its effective magnetic moment depends critically on molecular motions that take place on the time scale of the collision. Here we present the results of an investigation in which the NMR-detected longitudinal nuclear relaxation rate ${T}_{1}^{\ensuremath{-}1}$ of room temperature $^{3}\mathrm{He}$ gas adulterated with $\mathrm{NO}$ was measured as a function of $\mathrm{NO}$ density $([\mathrm{NO}])$ in two different magnetic fields. We find ${T}_{1}^{\ensuremath{-}1}=0.0502(3)[\mathrm{NO}]\phantom{\rule{0.3em}{0ex}}{\mathrm{s}}^{\ensuremath{-}1}$ at $1.50\phantom{\rule{0.3em}{0ex}}\mathrm{T}$, and ${T}_{1}^{\ensuremath{-}1}=0.0506(3)[\mathrm{NO}]\phantom{\rule{0.3em}{0ex}}{\mathrm{s}}^{\ensuremath{-}1}$ at $2.35\phantom{\rule{0.3em}{0ex}}\mathrm{T}$, where $[\mathrm{NO}]$ is expressed in amagat. Under these conditions approximately two-thirds of the $\mathrm{NO}$ molecules occupy the diamagnetic $^{2}\mathrm{\ensuremath{\Pi}}_{1∕2}$ ground state and one-third occupy the paramagnetic $^{2}\mathrm{\ensuremath{\Pi}}_{3∕2}$ state. Our data can be understood in terms of a semiclassical treatment of collision dynamics that involves the paramagnetic moment autocorrelation function.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.105 | 0.029 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".