Progress in Thiol-Ene/Yne Click Chemistry
Bibliographic record
Abstract
Click chemistry has attracted great interests due to a wide variety of superior merits, including a wide range of applications, simplified experimental condition, rapid reaction speed, higher functional group conversion, environmental friendly and selectivity. And conception of click chemistry contributed to the synthetic chemistry apparently, in particular, with respect to pharmaceutical manufacture and biomedical materials, resulting in the most useful and promising synthetic method. Furthermore, thiol-ene/yne click chemistry, utilizing inclusion of visible light or UV light as catalytic medium, is a comparatively novel kind of click chemistry in comparison to several types of conventional reactions. In addition, the properties of the creative reaction stems from the combination the photoinitiated chemical reaction with the forementioned traditional click chemistry, providing a flexible approach to occur reaction within the oriented region and functional group. This review highlights the recent research on the preparation of functional polymeric microsphere, amphipathic block well-defined polymer, materials employed in the molecular device, desired dendritic polymers and chemistry modification via thiol-ene/yne click chemistry. Moreover, the problems and solutions are given for the future development of thiol-ene/yne click chemistry.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".