Cover Picture: Polymer‐Based Muscle Expansion and Contraction (Angew. Chem. Int. Ed. 39/2013)
Bibliographic record
Abstract
Humidity-responsive polymer-based muscles were fabricated by exploiting charged microgel and polyelectrolyte interactions as is shown by M. J. Serpe and co-workers in their Communication on page 10330 ff. Favorable interactions between microgels and polyelectrolytes and microgels and a flexible substrate allow the substrate to bend in a manner that depends on environmental humidity. The resulting actuator, or muscle, is able to lift many times its mass in a reproducible manner. Humidity-responsive polymer-based muscles were fabricated by exploiting charged microgel and polyelectrolyte interactions as is shown by M. J. Serpe and co-workers in their Communication on page 10330 ff. Favorable interactions between microgels and polyelectrolytes and microgels and a flexible substrate allow the substrate to bend in a manner that depends on environmental humidity. The resulting actuator, or muscle, is able to lift many times its mass in a reproducible manner. Agostic Interactions In their Communication on page 10190 ff. E. F. van der Eide, P. Yang, and R. M. Bullock describe a molybdenum complex for which two agostic isomers can be isolated and characterized. The isomers are strikingly different colors.1 Analytical Methods In their Communication on page 10360 ff., R. A. Potyrailo et al. show that selective detection of individual vapors and their mixtures is achieved by using a single three-dimensional networked film of plasmonic nanoparticles.1 Solid-State NMR Spectroscopy In their Communication on page 10321 ff., N. J. Traaseth et al. used an oriented solid-state NMR method to detect changes upon ligand binding to the EmrE membrane transport protein. EmrE forms dimers in the membrane with different monomer tilt angles.1
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.041 | 0.012 |
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; both teacher heads agree on what is shown here.
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".