Cover Picture: Silicon Meets Cyclotron: Muon Spin Resonance of Organosilicon Radicals / The Pentamethylcyclopentadienylsilicon(II) Cation: Synthesis, Characterization, and Reactivity / Enantioselective Construction of Quaternary Stereogenic Carbon Atoms by the Lewis Base Catalyzed Additions of Silyl Ketene Imines to Aldehydes / Iron Silicates, Iron‐Modulated Zeolite Catalysts, and Molecular Models Thereof / Ultrathin Silica Films: The Atomic Structure of Two‐Dimensional Crystals and Glasses / Preparation of a Sulfo‐Group‐Containing Rod‐Like Polysilsesquioxane with a Hexagonally Stacked Structure and Its Proton Conductivity / [2+2+1] Cycloadditions of Bis(dialkylamino)acetylenes with SiI<sub>2</sub>(Idip): Syntheses and Reactivity Studies of Unprecedented 2,3,4,5‐Tetraamino‐1 <i>H</i>‐siloles / Dynamic Complexation of Copper(I) Chloride by Carbene‐Stabilized Disilicon (Chem. Eur. J. 30/2014)
Bibliographic record
Abstract
The cover picture highlights eight of the papers published in this themed issue, specially put together for the 17th International Symposium on Silicon Chemistry. In the top row from left to right: R. West et al. (p. 9184 ff.), P. Jutzi (p. 9192 ff.), and S. E. Denmark et al. (p. 9268 ff.). In the middle row: left C. Limberg and D. Pinkert (p. 9166 ff.) and right H.-J. Freund et al. (p. 9176 ff.). In the bottom row from left to right: Y. Kaneko et al. (p. 9394 ff.), A. Filippou et al. (p. 9280 ff.), and G. H. Robinson et al. (p. 9208 ff.). The range of papers reflects how silicon chemistry can provide a platform for synergistic solutions through novel method developments of synthetic and analytical tools and the interconnection of different disciplines in molecular and materials chemistry.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.273 | 0.049 |
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".