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
Empirical solvent polarity can be measured with betaine-30, a highly solvatochromatic compound meaning that solutions of betaine-30 in different solvents are different colors in response to the polarity of the solvent. These solutions are excellent tools to visualize solvent polarity, a concept that underlies the important role solvent plays in a chemical reaction or process. By showing how the solution color changes with solvent polarity, students can draw an analogy with non-visible properties that also depend on solvent polarity such as reaction rates. The synthesis of betaine-30 is a straightforward four-step convergent synthesis starting from inexpensive starting materials: 1,3-diphenylpropenone (chalcone), acetophenone and 2,6-diphenylphenol. Herein, an updated and improved synthesis of betaine-30 is presented that is quick, easy, high-yielding, and can be readily accomplished by senior undergraduate organic chemistry students. In particular, a better method for preparation of the first intermediate, 2,4,6-triphenylpyrylium hydrogen sulfate from acetophenone and 1,3- diphenylpropenone (chalcone), is described. As well, nitrosylation of 2,6-diphenylphenol followed by reduction with sodium dithionite produces 4-amino-2,6-diphenylphenol in an efficient reaction sequence. Finally, the greater purity of the intermediates leads to a higher yield for the final coupling to form pure betaine-30.
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 | 0.000 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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