Characterization of the {Ag(dmb)<sub>2</sub><sup>+</sup>}<i><sub>n</sub></i> Oligomers (dmb = 1,8-Diisocyano-<i>p</i>-menthane) in Solution
Bibliographic record
Abstract
The crystallographically characterized polymers [[Ag(dmb)(2)]Y](n) (Y = BF(4)(-), NO(3)(-), ClO(4)(-)) extensively dissociate in solution, contrarily to the Cu analogue, and common molecular weight determination techniques such as light scattering, osmometric, and intrinsic viscosity measurements fail to provide data allowing full characterization. Using pulsed NMR experiments, notably (13)C NMR T(1) (spin lattice relaxation time) and NOE (nuclear Overhauser enhancement) measurements on various ionic [[Ag(dmb)(2)]Y](n) materials (Y = BF(4)(-), NO(3)(-), ClO(4)(-)) and their related mononuclear [Ag (CN-t-Bu)(4)]Y salts in acetonitrile-d(3) (as comparative standards), the dipole-dipole spin lattice relaxation times (T(1)(DD)) of a selected quaternary (13)C probe are measured. These data allow us to extract the correlation times (tau(c)), which in turn permit us to estimate the volume of the tumbling species in solution. The comparison of the data between the [Ag(dmb)(2)(+)](n) and Ag(CN-t-Bu)(4)(+) species indicates the oligomeric nature of the former species, where the average number of Ag(dmb)(2)(+) approximately 8 (M(n) approximately 4000-5000).
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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 | 0.000 |
| 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) | 0.001 | 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 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".