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).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".