Bibliographic record
Abstract
A diverse variety of thiazyl radicals is known. Intense study of these heterocycles continues in the pursuit of molecule-based materials with novel, academically interesting, and technologically relevant properties. Coordination of these species to metal atoms and ions has focused primarily on the 1,2,3,5-dithiadiazolyl 2 and 1,3,2-dithiazolyl 6. The potential of these two heterocycles as ligand building-blocks has, by no means, been fully exploited. From the structural and electronic similarities between 2 and the verdazyl and nitronyl nitroxide radicals, it is apparent that similar radical ligand designs ought to be achievable. The sulfur atoms of 2 lend a unique feature to this radical that may yet be employed as a means of controlling intermolecular interactions or developing multi-metal species. The recent report of sulfur coordination to 6 demonstrates that there is yet more design flexibility available from this thiazyl as well. Coordination complexes of other radical thiazyls have begun appearing in the literature. This field is currently in its infancy and is starting to be recognized as an enormous source of untapped potential in the future development of molecule-based materials.
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 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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; 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".