<i>ACS Organic & Inorganic Au</i>’s 2023 Rising Stars Unveiled
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
T he ACS Organic & Inorganic Au Editors proudly present a virtual special issue showcasing articles from 2023 Rising Stars in Organic and Inorganic Chemistry.This virtual special issue highlights the remarkable contributions of ten early career researchers in organic and inorganic chemistry.These early career researchers are addressing challenges and leading impactful research in both fundamental and applied aspects of chemistry.Each Rising Star has significantly contributed through peer-reviewed Articles, Letters, or Perspectives to the journal, culminating in the ACS Organic & Inorganic Au 2023 Rising Stars in Chemistry virtual special issue (Figure 1).Offering a snapshot of the discipline's diversity and depth, this virtual special issue provides novel insights and pathways for advancing research in organic and inorganic chemistry.To introduce you to these outstanding scientists and their work, short biographies and links to their contributions featured in this virtual special issue are listed below.We hope that exploring the achievements of these Rising Stars will inspire you, just as it has inspired us, and that you will find it enjoyable!We are molecular architects interested in designing new organometallic compounds having structure and/or bonding properties that can be used to develop new chemical space.
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.
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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.008 | 0.006 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.037 | 0.081 |
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 it