Anion, Cation and Ion‐Pair Recognition by Macrocyclic and Interlocked Host Systems
Bibliographic record
Abstract
This chapter reviews selected highlights from the research contributions of the Beer group to the field of macrocyclic and supramolecular chemistry. We begin by discussing the group's early interests in the area of electrochemical molecular recognition, in which metallocene redox-active hosts were designed for cation, anion and neutral guest species electrochemical sensing applications. The emerging field of anion coordination chemistry stimulated our interest in the development of transition metal based photo-active macrocyclic receptors for anion sensing and led on to the anion templated construction of mechanically bonded molecular frameworks. This strategic anion templation methodology proved notably significant in advancing interlocked host anion recognition and sensing capabilities and has recently been exploited further within the rapidly developing field of halogen bonding anion recognition. We have also made significant contributions to the fields of ion-pair recognition and metal directed self-assembly which are also highlighted in this Chapter.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".